CN111800664A - Content selection mechanism based on signal analysis - Google Patents
Content selection mechanism based on signal analysis Download PDFInfo
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- CN111800664A CN111800664A CN201910899745.9A CN201910899745A CN111800664A CN 111800664 A CN111800664 A CN 111800664A CN 201910899745 A CN201910899745 A CN 201910899745A CN 111800664 A CN111800664 A CN 111800664A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/4223—Cameras
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/488—Data services, e.g. news ticker
- H04N21/4884—Data services, e.g. news ticker for displaying subtitles
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- Engineering & Computer Science (AREA)
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- General Health & Medical Sciences (AREA)
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- Theoretical Computer Science (AREA)
- Social Psychology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computer Networks & Wireless Communication (AREA)
- Databases & Information Systems (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a content selection mechanism based on signal analysis, comprising: a content adjustment device for performing signal analysis processing on a real-time captured image captured from a user terminal front-end camera to obtain a colorimetric value, and further for performing the following actions on an image area where an object exists in the real-time captured image: performing chroma adjustment processing based on chroma values on the image area to obtain a first image area, and performing the following actions on the image area without the object: performing no compensation processing based on the chromatic value on the image area, and taking the image area as a second image area; and the data merging equipment is used for executing signal normalization processing on the image after the first image area and the second image area are merged. The content selection mechanism based on signal analysis is reasonable in design and clear in logic. The corresponding bullet screen character string type is selected based on the facial expression of the nearest person in front of the user terminal, so that more intelligent service is provided for the user.
Description
Technical Field
The invention relates to the field of signal analysis, in particular to a content selection mechanism based on signal analysis.
Background
Signal analysis is one of the main types of signal processing. With the rapid development of digital computers, the theory and method of signal processing has also been developed. In the front of people, purely mathematical processing without physical limitation, namely an algorithm, appears, and the field of signal processing is established. Now, for Signal processing, one usually converts an analog Signal into a Digital Signal and then performs Digital Signal processing on the Digital Signal by using an efficient Digital Signal Processor (DSP) or a computer.
Then, how do digital signal processing?
Generally, digital signal processing involves three steps:
analog-to-digital conversion (A/D conversion): the analog signal is converted into a digital signal, the process of discretizing independent variable and amplitude simultaneously is adopted, and the basic theory is that the sampling theorem is guaranteed.
(II) Digital Signal Processing (DSP): including transform domain analysis (e.g., frequency domain transformation), digital filtering, recognition, synthesis, etc.
(III) digital-to-analog conversion (D/A conversion): the processed digital signal is reduced to an analog signal. Usually, this step is not necessary.
Disclosure of Invention
The invention requires at least the following key points:
(1) selecting a corresponding bullet screen character string type based on the facial expression of a nearest person in front of the user terminal, thereby providing more intelligent service for the user;
(2) on the basis of performing overall chromaticity analysis on an image, chromaticity adjustment processing based on chromaticity values is performed only on an image area containing an object, thereby reducing the amount of computation of signal processing.
According to an aspect of the present invention, there is provided a content selection mechanism based on signal analysis, the mechanism comprising:
a content adjustment device for performing signal analysis processing on a real-time captured image captured from a user terminal front-end camera to obtain a chroma value of the real-time captured image, and further for performing the following actions on an image area where an object exists in the real-time captured image: performing chroma adjustment processing based on chroma values on the image area to obtain a first image area, and performing the following actions on an image area where no object exists in a real-time captured image: performing no compensation processing based on a chromatic value on the image area, and taking the image area as a second image area;
the data merging device is connected with the content adjusting device and used for executing signal normalization processing on the image after the first image area and the second image area are merged so as to obtain and output a current merged image;
the expression analysis equipment is respectively connected with the bullet screen selection equipment and the data merging equipment and is used for executing facial expression analysis on a face area of a face target with the largest occupied area proportion in the received current merged image so as to obtain a corresponding expression type;
the bullet screen selection device is used for selecting a corresponding bullet screen type from the current bullet screen pool based on the received expression type so as to be used by the user terminal for playing the video currently;
in the bullet screen selection equipment, when the expression type is an anxiety expression or a depression expression, selecting the corresponding bullet screen type as a comma character string;
the current bullet screen pool is a bullet screen database and is used for storing each bullet screen which is pushed by the server and is currently sent by each terminal user.
According to another aspect of the present invention, there is also provided a content selection method based on signal analysis, the method including using a content selection mechanism based on signal analysis as described above for selecting a corresponding bullet screen character string type based on facial expressions of a person nearest in front of a user terminal.
The content selection mechanism based on signal analysis is reasonable in design and clear in logic. The corresponding bullet screen character string type is selected based on the facial expression of the nearest person in front of the user terminal, so that more intelligent service is provided for the user.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a diagram illustrating an external configuration of a user terminal to which a content selection mechanism based on signal analysis is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the signal analysis-based content selection mechanism of the present invention will be described in detail below with reference to the accompanying drawings.
Image analysis typically utilizes mathematical models in conjunction with image processing techniques to analyze underlying features and overlying structures to extract information with some intelligence.
The mode recognition and artificial intelligence method is also called scene analysis or image understanding. Since the 60's of the 20 th century, there have been many studies on image analysis, and the development of image analysis techniques for specific problems and applications has gradually moved toward the establishment of general theories. The image analysis is closely related to the research content of image processing, computer graphics and the like, and is mutually crossed and overlapped. But image processing mainly studies image transmission, storage, enhancement and restoration; the method for representing the main points, lines, faces and volumes of computer graphics and the method for displaying visual information; the image analysis focuses on a description method for constructing images, and more particularly, symbols are used for representing various images, rather than calculating the images and carrying out reasoning by using various related knowledge. Image analysis is also germane to research on human vision, where research on certain recognizable modules in human vision mechanisms may facilitate the improvement of computer vision (machine vision).
Currently, in a user terminal, an effective selection mechanism for the bullet screen is lacking, for example, when a user is sad, the subtitle including the sad character is still pushed, which further affects the mood and pleasure of the user for watching the film, and when the user is anxious, the subtitle including the anxious character is still pushed, which also further affects the mood and pleasure of the user for watching the film.
In order to overcome the defects, the invention builds a content selection mechanism based on signal analysis, and can effectively solve the corresponding technical problem.
A signal analysis based content selection mechanism is shown according to an embodiment of the invention comprising:
a content adjustment device for performing signal analysis processing on a real-time captured image captured from a user terminal front-end camera to obtain a chroma value of the real-time captured image, and further for performing the following actions on an image area where an object exists in the real-time captured image: performing chroma adjustment processing based on chroma values on the image area to obtain a first image area, and performing the following actions on an image area where no object exists in a real-time captured image: performing no compensation processing based on a chromatic value on the image area, and taking the image area as a second image area;
wherein, fig. 1 is an external structure diagram of the user terminal, 1 is a front-end camera of the user terminal, and 2 is the user terminal;
the data merging device is connected with the content adjusting device and used for executing signal normalization processing on the image after the first image area and the second image area are merged so as to obtain and output a current merged image;
the expression analysis equipment is respectively connected with the bullet screen selection equipment and the data merging equipment and is used for executing facial expression analysis on a face area of a face target with the largest occupied area proportion in the received current merged image so as to obtain a corresponding expression type;
the bullet screen selection device is used for selecting a corresponding bullet screen type from the current bullet screen pool based on the received expression type so as to be used by the user terminal for playing the video currently;
in the bullet screen selection equipment, when the expression type is an anxiety expression or a depression expression, selecting the corresponding bullet screen type as a comma character string;
the current bullet screen pool is a bullet screen database and is used for storing each bullet screen which is pushed by the server and is currently sent by each terminal user;
wherein performing signal normalization processing on the image obtained by combining the first image region and the second image region comprises: performing a normalization process of the contrast values on the image after the first image area and the second image area are combined, so that an absolute value of a difference between the contrast of the image content corresponding to the first image area in the current combined image and the contrast of the image content corresponding to the second image area in the current combined image is less than a limited amount;
wherein performing chroma adjustment processing based on chroma values for the image area comprises: the larger the difference between the chroma value and the preset chroma threshold value is, the larger the chroma adjustment amplitude is performed.
Next, a specific configuration of the content selection mechanism based on signal analysis according to the present invention will be further described.
In the content selection mechanism based on signal analysis:
and the data merging device is realized by adopting an SOC chip, and the data merging device and the content adjusting device share the same power supply device.
The content selection mechanism based on signal analysis may further include:
the device comprises a bilinear interpolation device, a processing module and a display module, wherein the bilinear interpolation device is used for receiving a real-time captured image captured from a front-end camera of the user terminal and executing bilinear interpolation-based processing on the real-time captured image so as to obtain and output a corresponding bilinear interpolation image.
The content selection mechanism based on signal analysis may further include:
and the mode selection device is connected with the bilinear interpolation device and used for receiving the bilinear interpolation image and analyzing the repeatability of the bilinear interpolation image so as to select a corresponding sharpening algorithm based on the repeatability of the bilinear interpolation image.
The content selection mechanism based on signal analysis may further include:
and the targeted sharpening device is connected with the mode selection device and is used for receiving the bilinear interpolation image and the selected sharpening algorithm and executing the selected sharpening algorithm on the bilinear interpolation image to obtain a corresponding targeted sharpened image.
The content selection mechanism based on signal analysis may further include:
and the pixel identification device is connected with the targeted sharpening device and used for analyzing the red channel value of each pixel of the targeted sharpened image to determine whether the red channel value falls within a target red channel threshold range, if the red channel value falls within the target red channel threshold range, the pixel is determined as a target pixel, if the red channel value falls outside the target red channel threshold range, the pixel is determined as a non-target pixel, all target pixels of the targeted sharpened image form a target pattern, and all non-target pixels of the targeted sharpened image form a non-target pattern.
The content selection mechanism based on signal analysis may further include:
and the orientation adjusting device is respectively connected with the content adjusting device and the pixel identification device and is used for performing color level adjustment on the target pattern to obtain a first adjusting pattern, splicing the first adjusting pattern and the non-target pattern to obtain an orientation adjusting image and replacing the real-time captured image to send the orientation adjusting image to the content adjusting device.
The content selection mechanism based on signal analysis may further include:
the HEVC compression device is connected with the orientation adjusting device and is used for receiving the orientation adjusting image and executing HEVC compression coding processing on the orientation adjusting image to obtain a corresponding HEVC coding image;
and the frequency division duplex communication interface is connected with the HEVC compression equipment and is used for receiving and wirelessly transmitting the HEVC coded images.
The content selection mechanism based on signal analysis may further include:
and the SDRAM storage chip is used for storing the current bullet screen pool, is also connected with the targeted sharpening device and is used for pre-storing various sharpening algorithms corresponding to various repetition degrees, wherein the higher the repetition degree is, the higher the sharpening intensity of the corresponding sharpening algorithm on the image is.
Meanwhile, in order to overcome the defects, the invention also builds a content selection method based on signal analysis, and the method comprises the step of using a content selection mechanism based on signal analysis and used for selecting the corresponding bullet screen character string type based on the facial expression of the nearest person in front of the user terminal.
In addition, the SDRAM, i.e. Synchronous Dynamic Random Access Memory, is Synchronous to the dram, where the synchronization means that a Synchronous clock is required for Memory operation, and the sending of internal commands and the transmission of data are based on the SDRAM; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDR SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (10)
1. A content selection mechanism based on signal analysis, the mechanism comprising:
a content adjustment device for performing signal analysis processing on a real-time captured image captured from a user terminal front-end camera to obtain a chroma value of the real-time captured image, and further for performing the following actions on an image area where an object exists in the real-time captured image: performing chroma adjustment processing based on chroma values on the image area to obtain a first image area, and performing the following actions on an image area where no object exists in a real-time captured image: performing no compensation processing based on a chromatic value on the image area, and taking the image area as a second image area;
the data merging device is connected with the content adjusting device and used for executing signal normalization processing on the image after the first image area and the second image area are merged so as to obtain and output a current merged image;
the expression analysis equipment is respectively connected with the bullet screen selection equipment and the data merging equipment and is used for executing facial expression analysis on a face area of a face target with the largest occupied area proportion in the received current merged image so as to obtain a corresponding expression type;
the bullet screen selection device is used for selecting a corresponding bullet screen type from the current bullet screen pool based on the received expression type so as to be used by the user terminal for playing the video currently;
in the bullet screen selection equipment, when the expression type is an anxiety expression or a depression expression, selecting the corresponding bullet screen type as a comma character string;
the current bullet screen pool is a bullet screen database and is used for storing each bullet screen which is pushed by the server and is currently sent by each terminal user;
wherein performing signal normalization processing on the image obtained by combining the first image region and the second image region comprises: performing a normalization process of the contrast values on the image after the first image area and the second image area are combined, so that an absolute value of a difference between the contrast of the image content corresponding to the first image area in the current combined image and the contrast of the image content corresponding to the second image area in the current combined image is less than a limited amount;
wherein performing chroma adjustment processing based on chroma values for the image area comprises: the larger the difference between the chroma value and the preset chroma threshold value is, the larger the chroma adjustment amplitude is performed.
2. The signal analysis based content selection mechanism of claim 1, wherein:
and the data merging device is realized by adopting an SOC chip, and the data merging device and the content adjusting device share the same power supply device.
3. The signal analysis based content selection mechanism of claim 2, wherein the mechanism further comprises:
the device comprises a bilinear interpolation device, a processing module and a display module, wherein the bilinear interpolation device is used for receiving a real-time captured image captured from a front-end camera of the user terminal and executing bilinear interpolation-based processing on the real-time captured image so as to obtain and output a corresponding bilinear interpolation image.
4. The signal analysis based content selection mechanism of claim 3, wherein the mechanism further comprises:
and the mode selection device is connected with the bilinear interpolation device and used for receiving the bilinear interpolation image and analyzing the repeatability of the bilinear interpolation image so as to select a corresponding sharpening algorithm based on the repeatability of the bilinear interpolation image.
5. The signal analysis based content selection mechanism of claim 4, wherein the mechanism further comprises:
and the targeted sharpening device is connected with the mode selection device and is used for receiving the bilinear interpolation image and the selected sharpening algorithm and executing the selected sharpening algorithm on the bilinear interpolation image to obtain a corresponding targeted sharpened image.
6. The signal analysis based content selection mechanism of claim 5, wherein the mechanism further comprises:
and the pixel identification device is connected with the targeted sharpening device and used for analyzing the red channel value of each pixel of the targeted sharpened image to determine whether the red channel value falls within a target red channel threshold range, if the red channel value falls within the target red channel threshold range, the pixel is determined as a target pixel, if the red channel value falls outside the target red channel threshold range, the pixel is determined as a non-target pixel, all target pixels of the targeted sharpened image form a target pattern, and all non-target pixels of the targeted sharpened image form a non-target pattern.
7. The signal analysis based content selection mechanism of claim 6, wherein the mechanism further comprises:
and the orientation adjusting device is respectively connected with the content adjusting device and the pixel identification device and is used for performing color level adjustment on the target pattern to obtain a first adjusting pattern, splicing the first adjusting pattern and the non-target pattern to obtain an orientation adjusting image and replacing the real-time captured image to send the orientation adjusting image to the content adjusting device.
8. The signal analysis based content selection mechanism of claim 7, wherein the mechanism further comprises:
the HEVC compression device is connected with the orientation adjusting device and is used for receiving the orientation adjusting image and executing HEVC compression coding processing on the orientation adjusting image to obtain a corresponding HEVC coding image;
and the frequency division duplex communication interface is connected with the HEVC compression equipment and is used for receiving and wirelessly transmitting the HEVC coded images.
9. The signal analysis based content selection mechanism of claim 8, wherein the mechanism further comprises:
and the SDRAM storage chip is used for storing the current bullet screen pool, is also connected with the targeted sharpening device and is used for pre-storing various sharpening algorithms corresponding to various repetition degrees, wherein the higher the repetition degree is, the higher the sharpening intensity of the corresponding sharpening algorithm on the image is.
10. A method of content selection based on signal analysis, the method comprising providing a signal analysis based content selection mechanism as claimed in any one of claims 1 to 9 for selecting a corresponding bullet string type based on facial expressions of a person nearest in front of the user terminal.
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