CN111949819A - Method and device for pushing video - Google Patents

Abstract

The embodiment of the disclosure discloses a method and a device for pushing videos. One embodiment of the method comprises: receiving an image sent by a target user through corresponding terminal equipment; acquiring a candidate push video set; determining similarity of an image and a candidate pushed video in a candidate pushed video set; selecting candidate push videos from the candidate push video set according to the similarity corresponding to the candidate push videos in the candidate push video set respectively; and pushing the selected candidate push video to the terminal equipment corresponding to the target user. The implementation mode is helpful for improving the matching degree of the video pushed to the user and the user intention.

Description

Method and device for pushing video

technical field

The embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a method and apparatus for pushing videos.

Background technique

At present, keyword-based information push is one of the common information push methods. Specifically, the user inputs the corresponding keyword according to the search intent, and then the server analyzes the user's search intent according to the keyword, and selects information and pushes it to the user according to the analysis result.

SUMMARY OF THE INVENTION

Embodiments of the present disclosure propose a method and apparatus for pushing video.

In a first aspect, embodiments of the present disclosure provide a method for pushing a video, the method comprising: receiving an image sent by a target user through a corresponding terminal device; acquiring a set of candidate push videos; for a candidate push video set in the candidate push video set video, determine the similarity between the image and the candidate push video; select the candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set; push the selected candidate push video to the terminal device corresponding to the target user Push video.

In some embodiments, determining the similarity between the image and the candidate push video includes: extracting a first number of frames of the candidate push video; determining the similarity between the image and the first number of frames as the similarity between the image and the candidate push video Spend.

In some embodiments, extracting the first number of frames of the candidate push video includes: extracting the first number of frames of the candidate push video according to the image.

In some embodiments, extracting the first number of frames of the candidate push video according to the image includes: evenly dividing the candidate push video into a second number of sub-videos; determining that the sub-videos in the second number of sub-videos are respectively different from the image for the sub-videos in the second number of sub-videos, determine the quotient of dividing the similarity corresponding to the sub-video by the sum of the similarities in the similarity set, and determine the obtained quotient and the first The product of a number is used as the target number corresponding to the sub-video; the target number of frames is extracted from the sub-video.

In some embodiments, selecting the candidate push videos from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set includes: according to the corresponding similarity in descending order, from the candidate push video set Select a candidate push video.

In a second aspect, an embodiment of the present disclosure provides an apparatus for pushing a video, the apparatus includes: a receiving unit configured to receive an image sent by a target user through a corresponding terminal device; an obtaining unit configured to obtain a candidate Pushing a video set; a determining unit, configured to determine the similarity between the image and the candidate pushing video for the candidate pushing video in the candidate pushing video set; the selecting unit, being configured to be based on the candidate pushing video in the candidate pushing video set respectively corresponding to the similarity degree, select the candidate push video from the candidate push video set; the push unit is configured to push the selected candidate push video to the terminal device corresponding to the target user.

In some embodiments, the above determining unit is further configured to: extract the first number of frames of the candidate push video; and determine the similarity between the image and the first number of frames as the similarity between the image and the candidate push video.

In some embodiments, the above determining unit is further configured to: extract the first number of frames of the candidate push video according to the image.

In some embodiments, the above-mentioned determining unit is further configured to: evenly divide the candidate push video into a second number of sub-videos; determine the similarity between the sub-videos in the second number of sub-videos and the images, respectively, to obtain a similarity set; For sub-videos in the second number of sub-videos, determine the quotient of the similarity corresponding to the sub-video divided by the sum of the similarities in the similarity set, and determine the product of the obtained quotient and the first number as the corresponding sub-video the target number of frames; extract the target number of frames from this sub-video.

In some embodiments, the above selecting unit is further configured to: select candidate push videos from the candidate push video set in descending order of the corresponding degrees of similarity.

In a third aspect, embodiments of the present disclosure provide a server, the server comprising: one or more processors; a storage device for storing one or more programs; when one or more programs are processed by one or more The processor executes such that the one or more processors implement the method as described in any one of the implementations of the first aspect.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, and when the computer program is executed by a processor, implements the method described in any implementation manner of the first aspect.

The method and device for pushing a video provided by the embodiments of the present disclosure realize pushing a corresponding video to the user according to the image sent by the user. Since the image sent by the user usually expresses the user's intention, it can be considered that the push information expected by the user has a certain degree of similarity with the image sent by the user. Based on this, by comparing the similarity between each candidate push video and the image sent by the user, and according to the obtained similarity, the candidate push video is selected and pushed to the terminal device corresponding to the user, which helps to improve the video pushed to the user and the user's intention. The matching degree is reduced, and the time for the user to receive the desired video is reduced, that is, the number of videos that the user needs to browse before receiving the desired video is reduced. As a result, the traffic consumption of the terminal device corresponding to the user and the server that pushes the video in this process is reduced.

Description of drawings

Other features, objects and advantages of the present disclosure will become more apparent upon reading the detailed description of non-limiting embodiments taken with reference to the following drawings:

FIG. 1 is an exemplary system architecture diagram to which an embodiment of the present disclosure may be applied;

2 is a flowchart of one embodiment of a method for pushing video according to the present disclosure;

3 is a schematic diagram of an application scenario of a method for pushing a video according to an embodiment of the present disclosure;

4 is a flowchart of yet another embodiment of a method for pushing video according to the present disclosure;

5 is a schematic structural diagram of an embodiment of an apparatus for pushing video according to the present disclosure;

6 is a schematic structural diagram of an electronic device suitable for implementing embodiments of the present disclosure.

Detailed ways

The present disclosure will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the related invention, but not to limit the invention. In addition, it should be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

It should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

FIG. 1 shows an exemplary architecture 100 to which embodiments of the method for pushing video or the apparatus for pushing video of the present disclosure may be applied.

As shown in FIG. 1 , the system architecture 100 may include terminal devices 101 , 102 , and 103 , a network 104 and a server 105 . The network 104 is a medium used to provide a communication link between the terminal devices 101 , 102 , 103 and the server 105 . The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The terminal devices 101, 102, and 103 interact with the server 105 through the network 104 to receive or send messages and the like. Various client applications may be installed on the terminal devices 101 , 102 and 103 . For example, browser applications, search applications, information sharing applications, etc., social applications, etc.

The terminal devices 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, and 103 are hardware, they can be various electronic devices having a display screen and supporting image and video display, including but not limited to smart phones, tablet computers, e-book readers, laptop computers and desktop computer, etc. When the terminal devices 101, 102, and 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules (eg, multiple software or software modules for providing distributed services), or as a single software or software module. There is no specific limitation here.

The server 105 may be a server that provides various services, for example, a backend server that pushes corresponding videos to the terminal devices according to the images sent by the terminal devices 101 , 102 and 103 . The back-end server may determine the similarity between the image sent by the user and each candidate push video, and then select the candidate push video to push to the terminal devices 101 , 102 , and 103 according to the determined similarity.

It should be noted that the method for pushing a video provided by the embodiments of the present disclosure is generally performed by the server 105 , and accordingly, the apparatus for pushing a video is generally set in the server 105 .

It should be noted that the server may be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster composed of multiple servers, or can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules (for example, multiple software or software modules for providing distributed services), or can be implemented as a single software or software module. There is no specific limitation here.

It should be understood that the numbers of terminal devices, networks and servers in FIG. 1 are merely illustrative. There can be any number of terminal devices, networks and servers according to implementation needs.

With continued reference to FIG. 2, a flow 200 of one embodiment of a method for pushing video according to the present disclosure is shown. The method for pushing a video includes the following steps:

Step 201: Receive an image sent by a target user through a corresponding terminal device.

In this embodiment, the execution body of the method for pushing video (the server 105 shown in FIG. 1 ) may receive the sending by the user through the terminal device (the terminal device 101 , 102 , 103 shown in FIG. 1 ) used by the user. Image.

The target user may be a user corresponding to any terminal device communicatively connected to the above-mentioned execution subject. The image may be an image stored in the above-mentioned terminal device, or may be an image instantly shot by the target user using the terminal device.

When a target user has a video they want to browse, they can express the video they want to browse by sending an image. As an example, when a user sees a music poster in a store and wants to watch an MV (Music Video, music short film) corresponding to the music, he can use a terminal device to shoot the music poster and send it to the above-mentioned execution body.

Step 202: Obtain a candidate push video set.

In this embodiment, the candidate push video set may be a set of some videos pre-specified by a technician. The candidate push video may also be a set of videos filtered according to preset conditions.

For example, some videos in the database connected by the above-mentioned execution subject may be obtained as target videos to obtain a target video set. Then, the historical behavior data of the target user can be obtained, and according to the obtained historical behavior data, some existing click-through rate prediction methods are used to predict the click-through rate of the target user on each target video in the target video set. Afterwards, according to the set click-through rate threshold, target videos with a click-through rate greater than the click-through rate threshold may be selected from the target video set as candidate push videos, thereby obtaining a candidate push video set.

Step 203: For a candidate push video in the candidate push video set, determine the similarity between the image and the candidate push video.

In this embodiment, to determine the similarity between each candidate push video and the image sent by the target user, various similarity determination methods can be flexibly selected according to different application scenarios.

Optionally, taking a candidate push video as an example, various existing feature extraction methods can be used to extract a feature vector used to characterize the feature of the candidate push video, and a feature vector used to characterize the feature of the image sent by the target user. Feature vector. Further, the similarity between the two extracted feature vectors can also be directly calculated as the similarity between the candidate push video and the image sent by the target user.

In some optional implementation manners of this embodiment, taking a candidate push video as an example, the first number of frames of the candidate push video may be extracted first. Then, the similarity between the image sent by the target user and the first number of frames can be determined as the similarity between the image sent by the target user and the candidate push video.

The first number may be preset by a technician, or may be determined according to some attributes (such as frame rate, etc.) of the candidate push video.

Wherein, when extracting the frames of the candidate push video, the first number of frames of the candidate push video may be randomly extracted, or the first number of frames of the candidate push video may be extracted by using various existing key frame extraction methods.

Optionally, the first number of frames of the candidate push video may be extracted according to the image sent by the user.

As an example, an image sent by the user may first be analyzed to identify a key object displayed in the image. Then, the frames displaying the above-mentioned key objects are preferentially selected from the candidate push video. For example, if it is identified that there are no frames in which the above-mentioned key object is displayed in the candidate push video, the first number of frames may be randomly selected. If it is identified that the frames displaying the above-mentioned key objects in the candidate push video are identified, the frames displaying the above-mentioned key objects are preferentially selected.

After the first number of frames are obtained, the similarity between the image sent by the target user and each frame can be determined respectively. Afterwards, the similarity between the image sent by the target user and the candidate push video can be determined according to the obtained degrees of similarity.

For example, the maximum similarity may be selected as the similarity between the image sent by the target user and the candidate push video. For another example, the average value of each similarity may be determined as the similarity between the image sent by the target user and the candidate push video.

Step 204: Select a candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set.

In this embodiment, according to a preset similarity threshold, candidate push videos whose corresponding similarity is greater than the similarity threshold may be selected. Then, several candidate push videos may be randomly selected from the selected candidate push videos, or several candidate push videos may be evenly selected according to the distribution of the similarity corresponding to these selected candidate push videos.

Wherein, the number of specific selections may be preset by technical personnel, or may be determined according to specific screening conditions.

In some optional implementation manners of this embodiment, the candidate push videos may be selected from the candidate push video set in descending order of the corresponding degrees of similarity.

Step 205: Push the selected candidate push video to the terminal device corresponding to the target user.

Continuing to refer to FIG. 3 , FIG. 3 is a schematic diagram 300 of an application scenario of the method for pushing a video according to this embodiment. In the application scenario of FIG. 3 , the user can use the terminal device 301 to capture an image 302 and send the image 302 to the above-mentioned execution body. The above-mentioned executive body can obtain the candidate push video set 304 from the connected database 303 .

Afterwards, the similarity between each candidate pushed video in the candidate pushed video set 304 and the image 302 can be determined respectively. As shown in the figure, the candidate push video set 304 includes three videos, and the similarity with the image 302 is 0.85, 0.5, and 0.4, respectively. After that, the candidate push video with the greatest similarity may be selected and pushed to the terminal device 301 .

The method provided by the above embodiments of the present disclosure compares the similarity between each candidate push video and the image sent by the user, and selects the candidate push video to push to the terminal device corresponding to the user according to the obtained similarity. Since the image sent by the user usually expresses the user's intention, it can be considered that the push information expected by the user has a certain degree of similarity with the image sent by the user. Therefore, in this way, the matching degree of the video pushed to the user and the user's intention can be improved, thereby reducing the time for the user to receive the desired video, that is, reducing the number of videos that the user needs to browse before receiving the desired video. As a result, the traffic consumption of the terminal device corresponding to the user and the server that pushes the video in this process is reduced.

With further reference to FIG. 4, a flow 400 of yet another embodiment of a method for pushing video is shown. The process 400 of the method for pushing a video includes the following steps:

Step 401: Receive an image sent by a target user through a corresponding terminal device.

Step 402: Obtain a candidate push video set.

For the specific execution process of the above steps 401 and 402, reference may be made to the related descriptions of the steps 201 and 202 in the embodiment corresponding to FIG. 2 , and details are not repeated here.

Step 403, for the candidate push video in the candidate push video set, perform the following steps 4031-4033 to extract the first number of frames of the candidate push video:

Step 4031: Evenly divide the candidate push video into a second number of sub-videos.

In this step, the second number can be preset by a technician. The second number may also be determined according to attributes (eg, duration, frame rate, etc.) of the candidate push video. The division method can select an appropriate division method according to different application scenarios.

For example, the duration of each sub-video may be determined according to the duration of the candidate push video and the second number, so that the candidate push video is divided into the second number of sub-videos. For another example, the total number of frames corresponding to the candidate push video may be determined according to the frame rate and duration of the candidate push video. Then, according to the total number of frames and the second number, the number of frames corresponding to each sub-video is determined, so that the candidate push video is divided into the second number of sub-videos.

Step 4032: Determine the similarity between the sub-videos in the second number of sub-videos and the images, respectively, to obtain a similarity set.

In this embodiment, the method for determining the similarity between each sub-video and the image can be flexibly selected in different ways. For example, the similarity between each sub-video and the image may be determined with reference to the calculation method for determining the similarity between the video and the image described in the embodiment corresponding to FIG. 2 .

Optionally, taking a sub-video as an example, several frames can be randomly extracted from the sub-video, and then the average or maximum value of the similarity between the extracted frames and the image is calculated as the similarity between the sub-video and the image.

Step 4033, for the sub-videos in the second number of sub-videos, determine the quotient value of the sum of the similarity degrees corresponding to the sub-videos divided by the similarity degrees in the similarity set, and determine the product of the obtained quotient value and the first number as the The target number corresponding to the sub-video; extract the target number of frames from the sub-video.

In some cases, for example, when some of the candidate videos have a high similarity with the images sent by the user, while the remaining part of the videos have a low similarity with the images sent by the user, if the candidate videos are randomly When extracting the first number of frames, it is likely that most of the extracted frames are the frames of the part of the video whose similarity to the image sent by the user is very low. In this case, the subsequent calculation result of the similarity between the candidate push video and the image sent by the user will be inaccurate according to the extracted frame.

In this embodiment, the number of frames extracted from each sub-video is determined according to the respective degrees of similarity corresponding to each of the sub-videos, and according to the relationship that the corresponding degrees of similarity are proportional to the number of frames extracted from the sub-videos. Compared with the method of directly extracting the first number of frames randomly or uniformly from the candidate push video, inaccurate calculation results caused by inappropriate extracted frames are avoided, and the accuracy of the calculation results is guaranteed.

Step 404: Determine the similarity between the image and the first number of frames as the similarity between the image and the candidate push video.

Step 405: Select a candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set.

Step 406: Push the selected candidate push video to the terminal device corresponding to the target user.

For the specific execution process of the above steps 404 , 405 and 406 , reference may be made to the relevant descriptions of the steps 203 , 204 and 205 in the embodiment corresponding to FIG. 2 , and details are not repeated here.

In the prior art, when an image and a video are matched, the content of the image is generally analyzed and identified to know the content contained in the image. Then, the content of the matched video is analyzed and identified to understand the content contained in the video. For example, analyze text displayed in images and videos, displayed objects and attributes of objects, displayed characters and attributes of people, and so on. Then according to the recognition result, the similarity between the image and the video is calculated.

As can be seen from FIG. 4 , the method for pushing a video in this embodiment extracts several frames from each sub-video divided by the candidate push video, and calculates the similarity between the extracted frames and the image sent by the user The similarity between the candidate push video and the image sent by the user. Compared with the prior art, the process of complex image analysis and video analysis is omitted, that is, the calculation amount in the process of determining the similarity between the candidate push video and the image sent by the user is greatly reduced, thereby reducing the calculation pressure of the server. .

With further reference to FIG. 5 , as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an apparatus for pushing video. The apparatus embodiment corresponds to the method embodiment shown in FIG. 2 . Can be used in various electronic devices.

As shown in FIG. 5 , the apparatus 500 for pushing a video provided in this embodiment includes a receiving unit 501 , an obtaining unit 502 , a determining unit 503 , a selecting unit 504 , and a pushing unit 505 . The receiving unit 501 is configured to receive the image sent by the target user through the corresponding terminal device; the obtaining unit 502 is configured to obtain the candidate push video set; the determining unit 503 is configured to determine the image for the candidate push video set in the candidate push video set The similarity with the candidate push video; the selecting unit 504 is configured to select the candidate push video from the candidate push video set according to the corresponding similarity of the candidate push videos in the candidate push video set; the push unit 505 is configured to correspond to the target user The terminal device pushes the selected candidate push video.

In this embodiment, in the apparatus 500 for pushing video: the specific processing of the receiving unit 501, the obtaining unit 502, the determining unit 503, the selecting unit 504 and the pushing unit 505 and the technical effects brought by them can be referred to FIG. 2 respectively. The descriptions corresponding to steps 201 , 202 , 203 , 204 , and 205 in the embodiment are not repeated here.

In some optional implementations of this embodiment, the above determining unit 503 is further configured to: extract the first number of frames of the candidate push video; determine the similarity between the image and the first number of frames as the image and the candidate push Similarity of videos.

In some optional implementations of this embodiment, the above determining unit 503 is further configured to: extract, according to the image, the first number of frames of the candidate push video.

In some optional implementations of this embodiment, the above determining unit 503 is further configured to: evenly divide the candidate push video into a second number of sub-videos; determine that the sub-videos in the second number of sub-videos are respectively the same as similarity to obtain a similarity set; for the sub-videos in the second number of sub-videos, determine the quotient of dividing the similarity corresponding to the sub-video by the sum of the similarities in the similarity set, and determine the obtained quotient and the first The product of the numbers is used as the target number corresponding to the sub-video; the target number of frames is extracted from the sub-video.

In some optional implementations of this embodiment, the above selecting unit 504 is further configured to: select candidate push videos from the candidate push video set in descending order of the corresponding degrees of similarity

In the apparatus provided by the above-mentioned embodiments of the present disclosure, the receiving unit receives the image sent by the target user through the corresponding terminal device; the obtaining unit obtains the candidate push video set; the determining unit determines the image and the candidate push video set for the candidate push video set. similarity of the pushed video; the selecting unit selects the candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set; the push unit pushes the selected candidate push video to the terminal device corresponding to the target user, This helps to improve the match between the video pushed to the user and the user's intention, thereby reducing the time for the user to receive the desired video, that is, reducing the number of videos that the user needs to browse before receiving the desired video. As a result, the traffic consumption of the terminal device corresponding to the user and the server that pushes the video in this process is reduced.

Referring next to FIG. 6 , it shows a schematic structural diagram of an electronic device (eg, the server in FIG. 1 ) 600 suitable for implementing embodiments of the present disclosure. The server shown in FIG. 6 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present disclosure.

As shown in FIG. 6, an electronic device 600 may include a processing device (eg, a central processing unit, a graphics processor, etc.) 601 that may be loaded into random access according to a program stored in a read only memory (ROM) 602 or from a storage device 608 Various appropriate actions and processes are executed by the programs in the memory (RAM) 603 . In the RAM 603, various programs and data necessary for the operation of the electronic device 600 are also stored. The processing device 601 , the ROM 602 , and the RAM 603 are connected to each other through a bus 604 . An input/output (I/O) interface 605 is also connected to bus 604 .

Typically, the following devices can be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speakers, vibration An output device 607 of a computer, etc.; a storage device 608 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 609. Communication means 609 may allow electronic device 600 to communicate wirelessly or by wire with other devices to exchange data. While FIG. 6 shows electronic device 600 having various means, it should be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in FIG. 6 may represent one device, or may represent multiple devices as required.

In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication device 609 , or from the storage device 608 , or from the ROM 602 . When the computer program is executed by the processing apparatus 601, the above-described functions defined in the methods of the embodiments of the present disclosure are executed.

It should be noted that the computer-readable medium described in the embodiments of the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. Rather, in embodiments of the present disclosure, a computer-readable signal medium may include a data signal in baseband or propagated as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted using any suitable medium including, but not limited to, electrical wire, optical fiber cable, RF (radio frequency), etc., or any suitable combination of the foregoing.

The above-mentioned computer-readable medium may be included in the above-mentioned server; or may exist alone without being assembled into the server. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the server, the server is made to: receive the image sent by the target user through the corresponding terminal device; obtain the candidate push video set; Push a candidate push video in the video set, and determine the similarity between the image and the candidate push video; select the candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set; to the terminal corresponding to the target user The device pushes the selected candidate push video.

Computer program code for carrying out operations of embodiments of the present disclosure may be written in one or more programming languages, including object-oriented programming languages—such as Java, Smalltalk, C++, or a combination thereof, Also included are conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider to via Internet connection).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units involved in the embodiments of the present disclosure may be implemented in software or hardware. The described unit may also be provided in the processor, for example, it may be described as: a processor includes a receiving unit, an acquiring unit, a determining unit, a selecting unit and a pushing unit. Wherein, the names of these units do not constitute a limitation of the unit itself in some cases, for example, the receiving unit may also be described as "a unit that receives images sent by the target user through the corresponding terminal device".

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solution formed by the specific combination of the above technical features, and should also cover, without departing from the above inventive concept, the above Other technical solutions formed by any combination of technical features or their equivalent features. For example, a technical solution is formed by replacing the above-mentioned features with the technical features disclosed in the embodiments of the present disclosure (but not limited to) with similar functions.

Claims (12)

1. A method for pushing a video, comprising: Receive the image sent by the target user through the corresponding terminal device; Get the candidate push video set; For a candidate push video in the candidate push video set, determine the similarity between the image and the candidate push video; According to the respective similarities of the candidate push videos in the candidate push video set, select a candidate push video from the candidate push video set; Pushing the selected candidate push video to the terminal device corresponding to the target user. 2. The method according to claim 1, wherein the determining the similarity between the image and the candidate push video comprises: Extract the first number of frames of the candidate push video; The similarity between the image and the first number of frames is determined as the similarity between the image and the candidate push video. 3. The method according to claim 2, wherein the extracting, the first number of frames of the candidate push video, comprises: According to the image, extract the first number of frames of the candidate push video. 4. The method according to claim 3, wherein, according to the image, extracting the first number of frames of the candidate push video, comprising: evenly dividing the candidate push video into a second number of sub-videos; determining the similarity between the sub-videos in the second number of sub-videos and the image, respectively, to obtain a similarity set; For sub-videos in the second number of sub-videos, determine the quotient of the similarity corresponding to the sub-video divided by the sum of the similarities in the similarity set, and determine the product of the obtained quotient and the first number as The target number corresponding to the sub-video; extract the target-number frame from the sub-video. 5. The method according to one of claims 1-4, wherein, according to the respective similarity degrees of the candidate push videos in the candidate push video set, selecting a candidate push video from the candidate push video set, comprising: The candidate push videos are selected from the candidate push video set in descending order of the corresponding degrees of similarity. 6. A device for pushing video, comprising: a receiving unit, configured to receive the image sent by the target user through the corresponding terminal device; an acquisition unit, configured to acquire a candidate push video set; a determining unit, configured to determine the similarity between the image and the candidate pushed video for a candidate pushed video in the candidate pushed video set; a selection unit, configured to select a candidate push video from the candidate push video set according to the respective similarities of the candidate push videos in the candidate push video set; A push unit, configured to push the selected candidate push video to the terminal device corresponding to the target user. 7. The apparatus of claim 6, wherein the determining unit is further configured to: Extract the first number of frames of the candidate push video; The similarity between the image and the first number of frames is determined as the similarity between the image and the candidate push video. 8. The apparatus of claim 7, wherein the determining unit is further configured to: According to the image, extract the first number of frames of the candidate push video. 9. The apparatus of claim 8, wherein the determining unit is further configured to: evenly dividing the candidate push video into a second number of sub-videos; determining the similarity between the sub-videos in the second number of sub-videos and the image, respectively, to obtain a similarity set; For sub-videos in the second number of sub-videos, determine the quotient of the similarity corresponding to the sub-video divided by the sum of the similarities in the similarity set, and determine the product of the obtained quotient and the first number as The target number corresponding to the sub-video; extract the target-number frame from the sub-video. 10. The apparatus of one of claims 6-9, wherein the selection unit is further configured to: The candidate push videos are selected from the candidate push video set in descending order of the corresponding degrees of similarity. 11. A server comprising: one or more processors; a storage device on which one or more programs are stored; The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5. 12. A computer-readable medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.

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