CN110377791A - Fast image sort method - Google Patents

Abstract

The invention discloses a kind of fast image sort methods, it only needs multiple filmed image information and multiple filmed image information sortings in selecting device, a path of motion can be defined according to it, and it is searched in path of motion in a database, the first stroke shoots the example image in one preset range of location information, it captures next record and shoots location information, to repeat the search of example image, after there is no next record filmed image information, again according to the matching image surrounding of the sequence of the example image post-back of search result to the former multiple filmed images of device, to utilize the visual presentation content in family, and it chooses in the sequence of the former multiple filmed images of insertion.Therefore picture material of the present invention without external image output, filmed image information and its sequence according only to device itself can search image and return to carry out layout, and can be promoted image layout speed and presentation content it is rich, while image frame content being avoided to leak.

Description

Fast Image Sorting Method

technical field

The present invention relates to a method for processing image data, in particular to a fast image sorting method which can perform image search on an external device and return an automatic auxiliary editing personalized image to assist the device.

Background technique

With the rapid development of science and technology, various electronic products with photography functions have gradually become popular. Even general communication mobile devices almost all have built-in photography functions. While shooting images, the location information of the shooting point can also be saved, so that users can not only save the memories of the trip by shooting the scenery while traveling, but also can use the built-in positioning information to recall the location where the images were shot during travel.

After traveling, many users will sort out the images shot, and after arranging the images shot during the trip, they will then be integrated into one video as a travel documentary. For example, many mobile APPs (such as Moments designed by Facebook, Inc, Quick designed by Go Pro Inc, etc.) allow consumers to directly select the files in the mobile phone for quick video editing and integrate them into a video file. However, if the image data is too small, users may In order to enrich the content of the video, most users choose to manually search for relevant images on the Internet, insert the images taken during travel for editing, and then manually sort the images. However, manually searching for external images is equivalent to arranging images from internal and external devices. time consuming. In addition, the handheld device is small in size and has a small screen, so it is an important issue to perform accurate search and comparison on the small screen. The current practice is to import all external files, and then sort them by time, location, file name or specific tag information, which is troublesome and troublesome for handheld devices.

In view of this, how to enrich and quickly arrange images while maintaining image privacy is a very important part for users. Aiming at the above shortcomings, the present invention proposes a fast image sorting method to effectively overcome the above problems.

SUMMARY OF THE INVENTION

The main purpose of the present invention is to provide a fast image sorting method, which does not need to capture the image content of the images, and only selects the exchangeable image file format (EXIF) information of the plurality of captured images and the plurality of captured images according to the device. Sort and search for relevant images from external databases to enrich the content of videos produced by individuals, which can effectively save users’ time for complicated image editing, and the exchangeable image files take up less space, which can reduce the amount of full image transmission, and at the same time Avoid leakage of user images.

Another object of the present invention is to provide a fast image sorting method, which can automatically filter out the empty shot images of the corresponding location according to the positioning information in the exchangeable image file information, and return them to the appropriate shooting image location. It is helpful for the user to select among multiple shooting images, so that the images are more abundant and the content presented in an integrated video will be smoother.

In order to achieve the above objective, the present invention provides a fast image sorting method. The steps include: first, selecting each shot image information in a plurality of shot images in a device, and sorting the multiple shot image information. Next, a motion path is defined according to the sequence of the plurality of shot image information, and then the first shot location information in the motion path is captured, and it is determined whether there is a shot location information in the shot image information, and if not, the next shot is retrieved image information, and return to the step of judging whether there is a shooting positioning information in the shooting image information; but if so, capture the shooting positioning information, and enter the next step; search within a predetermined range from the shooting positioning information in the database, Whether there is at least one sample image, if not, capture the next shot of image information, and return to the step of judging whether there is a shooting location information in the captured image information; but if so, capture the sample image so that the sample images are adjacent in the shooting image information, and proceed to the next step to determine whether there is a next shot of image information, if so, capture the next shot of image information, and return to the step of judging whether the shot image information has a shooting location information; If not, return the arranged example images and the order information of the shot image information and the example images to the device, and display the example images located around the multiple shot images on the display interface of the device for a user to visually compare Then, select the sample image and insert it among the corresponding multiple captured images to facilitate the subsequent production of an integrated video. Therefore, the present invention does not need to output the image content of the image to the outside, and only according to the shooting image information of the device and the sorting of the multiple shooting image information, the external device can search for the image and return it for arranging, and the speed of image arranging can be improved. With the richness of video content, while avoiding the leakage of video content.

After the step of capturing the sample image and making the sample image adjacent to the captured image information, the step further includes comparing the sample time information and the capture time information to capture the sample image at a predetermined time from the capture time information, and then adding It includes comparing the sample size information and the shooting size information to capture the sample images that match the shooting size information, and then according to the sample positioning information of the filtered sample images to determine whether the sample images fall into each shooting positioning information and the next one. The distance between the two points of shooting positioning information is the diameter. In the generated circle range, if not, select the closest circle range of the example image, and insert the example image between the two shooting positioning information that generate the close circle range; but if , then enter the example positioning information according to the example image to determine whether the example image falls into another circle range at the same time, if so, select the circle range of the example image closest to the center of the circle range, and insert the example image into the two strokes that generate the circle range If not, select the circle range in which the example image falls, and insert the example image between the two shots of location information that fall within the circle range.

After the step of capturing the sample image and making the sample image adjacent to the captured image information, it further includes subtracting the shooting position information of each captured image information one by one in the action path, so that the shooting position of each captured image information is When the information is subtracted, a distance information is generated. When the distance information of the two shooting positioning information is less than a geographic distance value, they are classified into the same range group. Then, according to the shooting positioning information of the shooting image information, the shooting image information with the highest height is selected in the same range group, and a predetermined height value is added to the shooting positioning information to become an empty shooting image threshold value. Then compare the example positioning information of the example images in the same range group and the threshold value of the aerial image, when the example positioning information of the example image is higher than the threshold value of the aerial image, then sort the example images in the range group. Shooting at the front of image information sorting.

Description of drawings

FIG. 1 is a block diagram of a system used in the present invention.

FIG. 2 is a flow chart of the steps of the present invention.

3A to 3D are schematic diagrams of motion paths of the present invention.

FIG. 4 is a flow chart showing the detailed steps of screening an example image according to the present invention.

5A to 5C are schematic interface diagrams of the imaging device used in the present invention.

Description of reference numerals: 1-quick image sorting system; 10-image acquisition device; 20-terminal; 22-processor; 24-database; 30-action path; 32-predetermined range; 33-predetermined range; 34-shooting image information; 36-shooting image information; 38-shooting image information; 39-shooting image information; 40-circle range; 402-circle center; 42-circle range; 422-circle center; - Sample images.

Detailed ways

The present invention does not need to use the image file in the image, but only uses the text file in the image, such as positioning information, shooting time and image size, etc., to search the image of the external device, and send back to assist the automatic editing of the device. The playback video of the converted image.

The fast image sorting method provided by the present invention can be implemented through a computer program loaded by an electronic device. First, referring to FIG. 1 , to describe in detail the system architecture applied by the fast image sorting method of this embodiment. As shown in FIG. 1 , which is a system architecture diagram of the present invention, the fast image sorting system 1 includes an image capturing device 10 and a terminal. 20. The terminal 20 includes a processor 22 and a database 24, and data transmission can be performed between the imaging device 10 and the terminal 20 in a wired or wireless manner. The imaging device 10 may be a computer with an image access function, a smart phone with a photography function, or a smart tablet with a photography function, or an electronic device with both image capture and computing functions. This embodiment For example, the image capturing device 10 is a smart phone, and the captured image captured by the image capturing device 10 may include captured image information, which is Exchangeable Image File Format (EXIF) information, and the data content of the captured image information. Including shooting positioning information, shooting time information and shooting size information, the shooting positioning information is calculated by the global positioning system (Global Positioning System, GPS) or China's Beidou satellite navigation and positioning system signal, which can provide the earth's latitude and longitude coordinates and altitude. and other information, the shooting time information is the date and time when the image was shot, and the shooting size information is the size of the shot image, which is the aspect ratio presented by a general image. Determine the aspect ratio of the picture, or directly determine the aspect ratio of the picture from the image size information.

Next, please continue to refer to FIG. 1 , wherein the terminal 20 may be a network computer host, a cloud server, or an application server or other device that can perform a large number of complex computing functions. In this embodiment, the terminal 20 is a network computer host, and the terminal The processor 22 in the 20 can be used for data processing, and the database 24 can be used to store a plurality of sample images. The images described in this embodiment refer to videos or pictures, wherein the sample images can be aerial images of an aerial camera, time-lapse images, and time-lapse images. Photography, large-angle panoramic images, beautiful pictures, pictures with post-production modifications, or even hand-painted pictures or wonderful images of concerts, sports events, etc., and each sample image in the database 24 includes sample image information, which For the exchangeable image file format (EXIF) information or manually compile the format content that meets the EXIF definition, the data content of the example image information includes example positioning information, example time information and example size information, wherein the example positioning information In order to calculate through the signal of Global Positioning System (GPS) or China's Beidou satellite navigation and positioning system, it can provide information such as the earth's latitude and longitude coordinates and altitude. The example time information is the date and time when the example image was taken. Example The size information is the size of the sample image, that is, the aspect ratio presented by a general image. In this embodiment, the aspect ratio of the video can be determined from the pixels in the captured image information, or the image size information can determine the size of the picture. Aspect ratio. In addition, the sample image can be a picture or a video, but a general video does not have the positioning information that contains EXIF information. In this case, the video and the picture cannot be sorted. In this case, one of the multiple pictures in the video needs to be used as the picture. A representative picture, and the positioning information of the representative picture is set to become the example positioning information in the example image information.

After describing the structure applied by the fast image sorting method, the method flow of the present invention is described in detail next. Please refer to FIG. 1 and FIG. 2 in conjunction. First, in step S10 , after capturing multiple captured images, the imaging device 10 can transmit the captured image information of the multiple captured images to be arranged and the sequence of the multiple captured image information to the terminal 20 , so that the terminal 20 The internal processor 22 captures the plurality of captured image information and the sequence of the plurality of captured image information. Since the imaging device 10 only transmits the captured image information and the sequence of the plurality of captured image information to the processor 22, the captured image information only includes The text information does not include image information, so the transmitted file is small, the transmission rate and the processing efficiency of the processor 22 can be greatly improved, and the image of the captured image can be prevented from leaking to systems other than the imaging device 10 .

Then go to step S12 and refer to FIG. 3A , the processor 22 can define an action path 30 according to the order of the plurality of captured image information. In this embodiment, the action path 30 moves from left to right, so the leftmost captured image The information 34 is set as the first shot image information 34 . Then go to step S14, capture the first shot image information 34 in the action path 30, and go to step S16, determine whether there is a shot location information in the shot image information, if not, go to step S18, capture the next shot Image information 36, and return to step S16 to determine whether there is a shooting location information in the photographed image information; otherwise, if it is determined to be yes in step S16, then go to step S20 to capture the photographing location information, and go to the next step S22 while cooperating with reference 3A, the processor 22 searches the database 24 within a predetermined range 32, for example, within 200 meters from the first shot of the image information 34 according to the shooting location information of the first shot of the image information 34 (this is only a set value, The user can set it according to the requirement of search rigor), whether there is at least one example image, in detail, the processor 22 will determine according to the shooting location information of the shot image information 34 and the example location information of the example image information of the example image. Whether there is a sample image within the predetermined range of the first shot of the image information 34, if not, it means that no sample image can be found within the predetermined range of the first image location information 34, then go to step S24 to capture the next shot The image information 36 is captured, and the process returns to step S16 to continue judging whether the image information 36 for the next shot has capturing location information. On the contrary, if there is an example image found within a predetermined range 32, the process proceeds to step S26 to capture at least one example image that meets the conditions, and make the example image adjacent to the captured image information.

Please continue to refer to FIG. 2 and FIG. 3A. In this embodiment, in step S16, the processor 22 does not find the shooting location information in the first shot of the image information 34, so it goes to step S18 to capture the second shot of the image. information 36, then go to step S16 to determine whether the second shot of the shot image information 36 has shot location information. In this embodiment, if the shot location information is found, then go to step S20 to capture the second shot of the shot image information 36. Shooting the positioning information, and proceeding to step S22, the processor 22 searches the database 24 for at least one example image within a predetermined range from the second shot of the image information 36 according to the shooting positioning information, this embodiment exemplifies the predetermined range 33 Three example images 50 , 52 , and 54 are found in the search. Therefore, step S26 is directly entered. The processor 22 retrieves the qualified example images 50 , 52 , and 54 from the database 24 , and makes the example images 50 , 52 , and 54 match Adjacent to the captured image information 36 .

1 to 2, 3A, 3B, 3C, 3D and 4, in step S26, after capturing the sample images 50, 52 and 54 that meet the conditions, the processor 22 can further determine Whether the sample images 50 , 52 , and 54 are consistent with the shooting time and image size of the second shot of the image information 36 . In detail, firstly entering step S261, the processor 22 compares the sample time information of the sample image information of the sample images 50, 52, 54 with the shooting time information of the captured image information to capture a predetermined time from the shooting time information For example, for general tourist attractions, the user can set the preferences to let the processor 22 filter out the sample images 30 days before and after the shooting time information, so that the screen of the sample image and the scene of the shooting image will not change. There are too many differences. If it is a concert or a wonderful scene of a sports event, the user can set the preferences to let the processor 22 filter out the shooting time information within 1 minute before and after (this is only a setting value, the user can set it by himself). ), so that the screen of the sample image and the content of the captured image are close to the user's shooting time. After filtering the sample images 50 , 52 , and 54 with suitable time, proceed to step S262 , compare the sample size information and the shooting size information (the user can turn off this function according to the requirement of search rigor), so as to filter out the suitable shooting size. Sample images of messages.

After filtering out the appropriate sample images 50, 52, and 54 by using the location, time, and size, you can first use the sample positioning information of the sample images 50, 52, and 54 to perform coordinate conversion with the longitude and latitude in the shooting positioning information, so as to arrange the sequence of the images. put in order. Referring first to FIG. 3A , each piece of shooting positioning information and the next piece of shooting positioning information takes the distance between two points as the diameter, and takes the middle point of the distance between the shooting positioning information and the next piece of shooting positioning information as the axis. A circular range, for example, the captured image information 34 and the next captured image information 36 can generate a circular range 40, the captured image information 36 and the next captured image information 38 can generate a circular range 42, and so on. Next, please refer to step S263 and FIG. 3A to explain in detail how to convert the coordinates according to the latitude and longitude in the example positioning information and the shooting positioning information, and sort the sequence of the images. First, go to step S263, and the processor 22 captures the example After the images 50, 52, and 54, it is further determined whether the example images 50, 52, and 54 fall into any of the circle ranges 40, 42 according to the example positioning information of the example images. In 42, if the example image 50 is the example image 50, go to step S264, select the closest circle area 40 of the example image 50, insert the example image 50 between the two pieces of shot image information 34 and 36 that generate the closest circle area 40, and enter The next step is S28; however, if the example images fall into the circle area 40, such as the example images 52 and 54, then go to the next step S265 to determine whether the example images 52 and 54 fall into another circle area 42 at the same time, If it falls into two circle areas 40 and 42 at the same time, such as the example image 52 , then go to step S266 , select the circle area 42 of the example image 52 that is closest to the center 422 of the circle area 42 , and insert the example image 52 into the circle area 42 that generates the circle area 42 . Between the two shots of the image information 36, 38, go to the next step S28; but if not, the example image only falls within one circle range 40, such as the example image 54, then go to step S267, select the example image 54 falls into and insert the example image 54 between the two pieces of photographed image information 34 and 36 that fall within the circle range 40, and then proceed to the next step S28.

The result of arranging the example images 50 , 52 , and 54 according to steps S263 to S267 is shown in FIG. 3B or FIG. 3C . However, in this embodiment, after arranging the positions according to the latitude and longitude, the process proceeds to step S28 , according to the shooting positioning information and The altitude in the example positioning information, and then the example images 50, 52, 54 and the shooting positioning information are rearranged. The details are as follows. In the action path 30, the shooting positioning information of each adjacent shooting image information is subtracted one by one. , when the shooting positioning information of each shooting image information is subtracted, a distance information is generated. When the distance information of the two shooting positioning information is less than a geographic distance value, they are classified into the same range group. Referring to FIG. 3A , first, taking the photographed image information 36 as an example, it can be subtracted from the photographing location information of the photographed image information 34 to generate distance information, and then it is determined whether the distance information is less than a preset geographic distance value, If it is less than a geographic distance value, it is classified into the same range group. In this embodiment, for example, the distance information obtained by subtracting the photographing location information of the photographed image information 36 from the photographing location information of the photographed image information 34 is less than a geographic distance value, and the photographed image The distance information obtained by subtracting the shooting positioning information of the information 38 and the shooting positioning information of the shooting image information 36 is also less than a geographic distance value (the geographic distance value is only a set value, and the user can set it by himself, because the scenery in the open place is roughly urban. Therefore, in general, the predetermined geographical distance value set in an open grassland area is generally equal to or greater than that of a city street. For example, the predetermined geographical distance value in an open area such as the Sailimu Lake area in Xinjiang Province, China, can be It is set to 1000 meters, and the urban streets such as Urumqi, Xinjiang Province, China, the predetermined geographic distance value can be set to a radius of 500 meters), the distance between the shooting positioning information of the shooting image information 39 and the shooting positioning information of the shooting image information 38 The information is greater than a geographic distance value, so the captured image information 36 and the captured image information 34 and 38 belong to the same range group, and the captured image information 39 does not belong to the same range group. Then, from the shooting positioning information of the shooting image information 34, 36, and 38 in the same range group, find the one with the highest altitude and add a preset altitude value, such as 6 meters. The reason for setting 6 meters is that, 6 meters is the height of a person, about 2 meters, plus the height of the selfie stick, 1 meter, plus the measurement error of the device measuring the altitude, 3 meters. The user can set it as the threshold value of the aerial image for this range group, and compare the threshold value of the aerial image according to the altitude in the sample positioning information of the sample images 50, 52, and 54. If the sample positioning information of the sample image is The altitudes in the range are not higher than the threshold value of the aerial image, then the sample image is maintained in the same order of the captured image information in this range group, and the arrangement result will still be as shown in Figure 3B or 3C. The order of the example action path 30 is viewed from left to right, and its order is: or However, if only the altitude in the example positioning information of the example image 50 is higher than the threshold value of the aerial shot image of this range group, then fine-tune this example image 50 so that the shot image information in this range group is sorted in front, and the arranged The result will be shown in FIG. 3D . According to the order of the action paths 30 in this embodiment from left to right, its order is:

After completing the arrangement of heights, proceed to step S30 to determine whether there is the next shot of image information; if yes, go to step S32, the processor 22 retrieves the next shot of image information, and returns to step S16 to repeat the example effect but if not, the processor 22 does not find the next shot of image information, then enters step S34 and cooperates with FIG. 5A , FIG. 5B and FIG. 5C , the processor 22 will arrange the The sample images and the sequence information of the shot image information and the sample images are sent to the image capturing device 10, so that the image capturing device 10 displays the captured images and then adds the sample images, and makes the sample images in the positions of the previous arrangement order, corresponding to the positions of the sample images. The surrounding area between the captured images, such as the bottom of the captured images, allows the user to operate the image capturing device 10 whether to select the filtered sample images. An image sequence, and finally the selected sample image and the original multiple shooting images can be output into an integrated video.

Please refer to FIG. 1 and FIG. 5A to FIG. 5C together to describe the operation interface seen by the user terminal. Referring to FIGS. 1 and 5A , when the user operates the imaging device 10 , the user can select the sequence of the captured images of the captured images to be made into a video on the user interface, and then send out the captured image information of the captured images and the sequence of the captured image information. to the processor 22 of the terminal 20 . 1 and FIG. 5B , the processor 22 can search for example images according to the above-mentioned method flow of the present invention, so as to transfer the example images back to the image capturing device 10 held by the user, and arrange the example images according to the above-mentioned ordering At the bottom between the corresponding captured images, it is provided that the user can operate the imaging device 10 whether to use this arrangement position, and if so, use this arrangement position to directly insert into the sequence of the original multiple captured images. Finally, referring to FIG. 5C , the user chooses to insert a sample image between the captured images, so as to use this sequence to output an integrated video. The area of the sample images displayed on the display interface of the image capturing device 10 is further available for clicking or sliding, so as to list more sample images that meet the filtering conditions for the user to click.

In addition, of course, the present invention can also directly load the computer program of the fast image sorting method of the present invention in the processor of the imaging device 10 itself. The processor of 10 itself performs the sorting operation of the sample images, and finally directly displays the sample images that meet the search conditions on the screen of the image capturing device. However, in this embodiment, the image capturing device 10 transmits the captured image information to the remote terminal 20 to search and sort the sample images, which is only an illustration of the embodiment, and is not intended to limit the technology of the present invention.

To sum up, the present invention does not need to capture the images of the images, and can sort the images only according to the exchangeable image file format (EXIF) information of the images, and automatically search for the relevant images, so as to enrich the personal information. The content of the produced video can effectively save the user's complicated video editing time, and the exchangeable image file occupies less space, which can improve the speed of image arrangement and avoid the leakage of the user's image screen. The positioning information in the image file information automatically filters out the empty photos of the corresponding location, and inserts them into the appropriate image sorting to make the images more abundant.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the scope of implementation of the present invention. Therefore, all equivalent changes or modifications made according to the features and spirit of the claims of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. a fast image sorting method, is characterized in that, comprises the following steps: (A) capturing each captured image information of a plurality of captured images in a device, and a sequence of the plurality of captured image information; (B) defining a motion path according to the sequence of the plurality of captured image information; (C) retrieving the first piece of the photographed image information in the motion path; (D) judging whether there is a shooting positioning information in the shooting image information: (D1) If not, capture the next piece of the captured image information, and return to step (D); and (D2) If yes, then capture the shooting positioning information, and enter the next step (E); (E) searching a database for at least one example image within a predetermined range from the shooting positioning information, wherein the example image further includes example image information, and the example image information includes example positioning information: (E1) If not, capture the next piece of the photographed image information, and return to step (D); and (E2) If yes, capture the example image, make the example image adjacent to the captured image information, and proceed to the next step (F); (F) Judging whether there is the next piece of the photographed image information: (F1) If yes, then capture the next piece of the photographed image information, and return to step (D); and (F2) If not, return the sequence of the example images inserted into the sequence of the plurality of captured image information to the device. 2 . The fast image sorting method as claimed in claim 1 , wherein each of the shot image information further comprises a shot time information, the sample image information further comprises a sample time information, and after the step (E2), further comprises: 3 . Step (E21), comparing the sample time information and the shooting time information to capture the sample image at a predetermined time from the shooting time information. 3 . The fast image sorting method as claimed in claim 1 , wherein each of the shot image information further comprises a shot size information, the sample image information further comprises a sample size information, and after the step (E2), further comprises: 4 . Step ( E22 ), compare the sample size information with the shot size information to capture the sample image conforming to the shot size information. 4. The fast image sorting method according to claim 1, further comprising a step (E23) after the step (E2): (E231) According to the example positioning information of the example image one by one, determine whether the example image falls within a circle range generated by the diameter of the distance between two points of the shooting positioning information and the next shooting positioning information: If not, select the closest circle range of the example image, insert the example image between the two pieces of the shooting positioning information that generate the closest circle range, and go to step (F); and If so, proceed to the next step (E232); and (E232) According to the example positioning information of the example image, determine whether the example image falls into another circle range at the same time: If yes, select the circle range of the example image closest to the center of the circle range, insert the example image between the two pieces of the shooting positioning information that generate the circle range, and go to step (F); and If not, select the circle range in which the example image falls, insert the example image between two pieces of the shooting positioning information that fall within the circle range, and go to step (F). 5. The fast image sorting method as claimed in claim 1, further comprising a step (E24) after the step (E2) of capturing the example image and making the example image adjacent to the captured image information ): (E241) subtracting the shooting positioning information of each adjacent shooting image information one by one in the action path, so that when the shooting positioning information of each shooting image information is subtracted, a distance information is generated. When the distance information of the two shooting positioning information is less than a geographic distance value, they are classified into the same range group; (E242) According to the shooting positioning information of the shooting image information, select the shooting image information with the highest height in the same range group, and add a preset height value to the shooting positioning information to become an empty shooting image threshold value; (E243) Comparing the example positioning information of the example image in the same range group and the aerial image threshold value, when the example positioning information of the example image is higher than the aerial image threshold value, the example The images are sorted ahead of the information of the captured images within the range group. 6 . The fast image sorting method of claim 1 , wherein after step ( F2 ), further comprising displaying on the display interface of the device that the sample image is located around the plurality of captured images for a user to select the image. 7 . Example images are inserted between the corresponding plurality of captured images. 7 . The fast image sorting method of claim 6 , wherein an area of the sample image displayed on the display interface of the device can be clicked or swiped to list more sample images that meet search conditions. 8 . 8 . The fast image sorting method of claim 1 , wherein the fast image sorting method can be implemented through a computer program loaded by the electronic device. 9 . 9 . The fast image sorting method of claim 1 , wherein when the sample image is a video, one of the pictures in the video is further selected as a representative picture, and the positioning information of the representative picture is set, 10 . to be the example positioning information in the example image information. 10 . The fast image sorting method of claim 6 , wherein an integrated video is generated after the selected example image is inserted between the corresponding plurality of captured images. 11 .