A video signal processing method and a video display

Abstract

The application provides a video signal processing method and a video display, wherein the processing method comprises: obtaining a use condition of the video display; determining a parameter adjustment scheme based on the use condition and a pre-configured automatic adjustment library; adjusting parameters in a processing scheme based on the parameter adjustment scheme; and processing a video signal according to the adjusted processing scheme. The application adjusts the parameters in the processing scheme of the video signal processing based on the analysis of the use condition and under the guidance of the pre-configured automatic adjustment library, and realizes the adjustment corresponding to the daily attenuation in the use process.

Description

Technical Field

[0001] This invention relates to the field of video signal processing technology, and in particular to a video signal processing method and a video display. Background Technology

[0002] Video signals are transmitted from the source device to the video display, where they are reproduced as visual images. The video signal consists of consecutive image frames, each divided into pixels, and processed through digital sampling to enable transmission between electronic devices. Existing video displays use methods such as signal decoding, filtering, and enhancement. However, the parameters for these operations are only adjusted at the factory or during the display's calibration, and adjustments are often insufficient to account for daily attenuation during use. Summary of the Invention

[0003] One of the objectives of this invention is to provide a video signal processing method and a video display to solve the aforementioned technical problems.

[0004] An embodiment of the present invention provides a video signal processing method, comprising: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

[0005] Preferably, the steps for determining the parameter adjustment scheme include: Feature extraction is performed on usage data, and a usage representation set is constructed based on the extracted features; The corresponding parameter adjustment scheme is retrieved from the automatic adjustment library based on the representation set used; The parameters used in the representation set include one or more of the following: parameters representing the type of the last calibration, parameters representing the number of calibrations performed, parameters representing the time since the last calibration, parameters representing the total boot time, and parameters representing the environment and duration of each boot.

[0006] Preferably, the video signal processing method further includes: The video display screen is captured via a mobile terminal; Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

[0007] Preferably, the mobile terminal has been verified and approved in advance. The verification steps are as follows: The image of the standard object captured by the mobile terminal is compared with the standard image of the standard object for verification; when the preset verification conditions are met, the verification is successful.

[0008] Preferably, when acquiring the display screen of the mobile terminal's video display, verification is performed based on the mobile terminal's location information and the video signal received by the video display. If the verification fails, a preset prompt message is output to the mobile terminal.

[0009] Preferably, the video signal processing method further includes: The image captured by the image acquisition unit is obtained through the image acquisition unit fixed to the video display. Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

[0010] Preferably, the image acquisition unit includes cameras symmetrically arranged on both sides of the central axis of the video display.

[0011] Preferably, the video signal processing method further includes: When a user-selected comparison processing mode instruction is received, the comparison processing mode is entered. The image corresponding to the video signal of the current frame is compared with the images corresponding to the video signals of the previous preset number of frames. Based on the comparison results, the image corresponding to the video signal of the current frame is annotated and output.

[0012] Preferably, the comparison processing steps include: Calculate the similarity of the images. When the similarity is greater than or equal to a preset first similarity threshold, segment the image into multiple units. Associate the units on the two images accordingly; Calculate the similarity between corresponding related units; Extract regions composed of units whose similarity is less than or equal to a preset second similarity threshold.

[0013] The present invention also provides a video display, comprising: The system includes a display screen, a processing module, and a storage module; the storage module stores a program that can be executed by the processing module to implement any of the aforementioned video signal processing methods.

[0014] The present invention has the following beneficial effects: by analyzing the usage, and under the guidance of a pre-configured automatic adjustment library, the parameters of the video signal processing scheme are adjusted, realizing the adjustment corresponding to the daily attenuation during use, enabling the display to better reproduce video content, improve image clarity and color vibrancy, and provide users with a better visual experience.

[0015] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a video signal processing method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a video display according to an embodiment of the present invention. Detailed Implementation

[0018] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0019] Example 1: This embodiment of the invention provides a video signal processing method, such as... Figure 1 As shown, it includes: Step 1: Obtain information on the usage of the video display; Step 2: Based on usage and the pre-configured automatic adjustment library, determine the parameter adjustment scheme; Step 3: Based on the parameter adjustment plan, adjust the parameters in the processing plan; Step 4: Process the video signal according to the adjusted processing plan.

[0020] The steps for determining the parameter adjustment scheme include: Feature extraction is performed on usage data, and a usage representation set is constructed based on the extracted features; The corresponding parameter adjustment scheme is retrieved from the automatic adjustment library based on the representation set used; The parameters used in the representation set include one or more of the following: parameters representing the type of the last calibration, parameters representing the number of calibrations performed, parameters representing the time since the last calibration, parameters representing the total boot time, and parameters representing the environment and duration of each boot.

[0021] The processing scheme includes operations such as signal decoding, filtering, and enhancement; the parameters in the corresponding processing scheme include the filtering method and threshold, the enhancement method and coefficients, etc. This embodiment also provides a video display, such as... Figure 2 As shown, it includes: a display screen 1, a processing module 2, and a storage module 3; the storage module 3 stores a program that can be executed by the processing module 2 to implement the above-mentioned video signal processing method.

[0022] The video signal processing method and video display provided in this embodiment, through analysis of usage and under the guidance of a pre-configured automatic adjustment library, adjust the parameters of the video signal processing scheme. This achieves the adjustment corresponding to daily attenuation during use, enabling the display to better reproduce video content, improve image clarity and color vibrancy, and provide users with a better visual experience.

[0023] Example 2: This embodiment of the invention provides a video signal processing method, including: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

[0024] To enable users to make their own adjustments, the video signal processing methods also include: The video display screen is captured via a mobile terminal; Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

[0025] The mobile terminal was pre-verified and approved; the verification steps are as follows: The system acquires an image of the standard object captured by the mobile terminal and compares it with a standard image of the standard object for verification. Verification is successful when the preset verification conditions are met. Furthermore, the standard object can be a mark (e.g., a logo, QR code, etc.) positioned anywhere on the video display.

[0026] Specifically, when acquiring the display screen of the mobile terminal's video display, verification is performed based on the mobile terminal's location information and the video signal received by the video display. If the verification fails, a preset prompt message is output to the mobile terminal. Through the above verification steps, it is ensured that the display screen sent by the mobile terminal is indeed the image displayed on the video display, thereby guaranteeing the effectiveness of the autonomous calibration.

[0027] This embodiment also provides a video display, including: a display screen, a processing module, and a storage module; the storage module stores a program that can be executed by the processing module to implement the above-described video signal processing method.

[0028] Example 3: This embodiment of the invention provides a video signal processing method, including: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

[0029] To further enable automatic calibration during use, the video signal processing method also includes: The image captured by the image acquisition unit is obtained through the image acquisition unit fixed to the video display. Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

[0030] The image acquisition unit includes cameras symmetrically positioned on both sides of the central axis of the video display.

[0031] This embodiment also provides a video display, including: a display screen, a processing module, and a storage module; the storage module stores a program that can be executed by the processing module to implement the above-described video signal processing method. Correspondingly, cameras capable of capturing images displayed on the display screen are arranged on both sides of the display screen. The use of two cameras for capturing images is due to the fact that although the cameras protrude from the display screen, their shooting angle is relatively small. By using two cameras, the two images obtained can be mutually verified and complemented, achieving more accurate image capture and thus enabling accurate adjustment of the processing scheme.

[0032] Example 4: This embodiment of the invention provides a video signal processing method, including: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

[0033] To accommodate users' needs for active comparison, video signal processing methods also include: When a user-selected comparison processing mode instruction is received, the system enters the comparison processing mode. The image corresponding to the video signal of the current frame is compared with the images corresponding to the video signals of the previous preset number of frames. Based on the comparison results, the image corresponding to the video signal of the current frame is annotated and output.

[0034] The comparison processing steps include: Calculate the similarity of the images. When the similarity is greater than or equal to a preset first similarity threshold (any value between 0.80 and 0.99), segment the image into multiple units. Associate the units on the two images accordingly; Calculate the similarity between corresponding related units; Extract regions consisting of units with a similarity less than or equal to a preset second similarity threshold (any value between 0.01 and 0.85). The annotation process includes adding bounding boxes to these regions, highlighting them, and embedding the time information corresponding to the comparison frames onto the bounding boxes.

[0035] This embodiment is designed to meet the user's need for active comparison. By comparing the current frame with historical frames and then annotating them, it helps the user discover the differences between the current frame and a preset number of previous frames. When entering the comparison processing mode, the user can use the initial comparison processing parameters or configure them independently. The comparison processing parameters include: the number of historical frames compared with the current frame, the color of the annotation box for each comparison frame, the first similarity threshold, the second similarity threshold, etc. When the number of comparison frames is not unique, overlapping bounding boxes may occur. In this case, the overlapping bounding boxes are processed as follows: They are sequentially reduced in size around their center point, forming multiple nested bounding boxes. The nesting order is determined through the following steps: The time of the comparison frame corresponding to each bounding box is determined; based on the difference between the time and the current time, a pre-defined first priority value table is consulted to determine the first priority value; based on the average similarity of each unit within the bounding box, a second priority value table is consulted to determine the second priority value; the bounding boxes are nested sequentially from the outside in, based on the sum of the first and second priority values ​​from largest to smallest. The first priority value table is pre-built, following the principle that the smaller the difference, the larger the first priority value; the second priority value is also pre-configured, following the principle that the smaller the average similarity, the larger the second priority value.

[0036] This embodiment also provides a video display, including: a display screen, a processing module, and a storage module; the storage module stores a program that can be executed by the processing module to implement the above-described video signal processing method.

[0037] Example 5: This embodiment of the invention provides a video signal processing method, including: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

[0038] In real-world usage scenarios, adjustments made based on usage conditions constitute a form of self-correction. Beyond self-correction, a comprehensive analysis should be conducted, considering the viewer's situation, the viewing environment, and the content of the video being played, to optimize the video playback. Specific video processing methods also include: Feature extraction is performed on the acquired environmental monitoring data to obtain multiple environmental feature parameters; the environmental monitoring data includes: brightness, temperature, humidity, etc.; the environmental feature parameters include: parameters representing average brightness, humidity, temperature, etc. The image within a preset range in front of the acquired video display is used to extract and recognize contours to determine basic personnel information, including the number of personnel and their age range. Based on the analysis of people's attention to the video in the image within a preset range in front of the video monitor, attention data is determined. Attention data includes the ratio of the time each person's gaze falls on the video monitor to the total monitoring time. This can be obtained by collecting and analyzing images within the preset range in front of the video monitor. Based on the video content and the video conditions of various people within a preset range in front of the video monitor, the adaptation data is determined. The adaptation data can be quantified as the adaptation degree. Specifically, the video content is classified and the audience is classified. Different video content categories are adapted to different audiences. The adaptation degree is quantified in advance by professionals. For example, cartoons are more suitable for children, with a corresponding adaptation degree of 100%. The adaptation degree of other audiences gradually decreases as they get older. Feature extraction is performed on basic personnel information, attention data, and adaptation data to obtain personnel feature parameters. Personnel feature parameters include: parameters representing the number of personnel, the age range of each person, the proportion of time each person's attention is on the video display, and the adaptation degree between the content and each person (the adaptation degree is pre-configured and adapts to different age groups and genders based on different content). Based on environmental and personnel characteristic parameters, an analysis parameter set is constructed; the environmental and personnel characteristic parameters are arranged in order to form the analysis parameter set. Based on a pre-configured correction scheme analysis library and analysis parameter set, a correction scheme is determined. The correction scheme analysis library is pre-configured by professionals, and the correction schemes and analysis parameter sets are associated one-to-one in the correction scheme analysis library. The video signal is corrected based on the correction scheme.

[0039] The method in this embodiment modifies the video signal processing scheme by comprehensively analyzing the environment of the video display, the people watching the video display, and the compatibility between the video content and the viewers. Starting from the environment, people, and content, it finds a better signal processing scheme. The modification scheme includes adjusting the signal strength and reducing the signal strength. This embodiment also provides a video display, including: a display screen, a processing module, and a storage module; the storage module stores a program that can be executed by the processing module to implement the above-described video signal processing method.

[0040] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A video signal processing method, characterized in that, include: Obtain information on the usage of the video display; Based on usage and a pre-configured automatic adjustment library, determine the parameter adjustment scheme; Based on the parameter adjustment scheme, the parameters in the processing scheme are adjusted; The video signal is processed according to the adjusted processing scheme.

2. The video signal processing method as described in claim 1, characterized in that, The steps for determining the parameter adjustment scheme include: Feature extraction is performed on usage data, and a usage representation set is constructed based on the extracted features; The corresponding parameter adjustment scheme is retrieved from the automatic adjustment library based on the representation set used; The parameters used in the representation set include one or more of the following: parameters representing the type of the last calibration, parameters representing the number of calibrations performed, parameters representing the time since the last calibration, parameters representing the total boot time, and parameters representing the environment and duration of each boot.

3. The video signal processing method as described in claim 1, characterized in that, Also includes: The video display screen is captured via a mobile terminal; Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

4. The video signal processing method as described in claim 3, characterized in that, The mobile terminal has been pre-verified and approved. The verification steps are as follows: The image of the standard object captured by the mobile terminal is compared with the standard image of the standard object for verification; when the preset verification conditions are met, the verification is successful.

5. The video signal processing method as described in claim 3, characterized in that, When acquiring the video display screen of the mobile terminal, the system performs verification based on the mobile terminal's location information and the video signal received by the video display screen. If the verification fails, a preset prompt message is output to the mobile terminal.

6. The video signal processing method as described in claim 1, characterized in that, Also includes: The image captured by the image acquisition unit is obtained through the image acquisition unit fixed to the video display. Based on the video signal transmitted to the video display, standard frames are retrieved from a pre-configured standard frame library; Based on the displayed screen and the standard screen, a new processing scheme is determined and the original processing scheme is replaced.

7. The video signal processing method as described in claim 6, characterized in that, The image acquisition unit includes cameras symmetrically arranged on both sides of the central axis of the video display.

8. The video signal processing method as described in claim 1, characterized in that, Also includes: When a user-selected comparison processing mode instruction is received, the comparison processing mode is entered. The image corresponding to the video signal of the current frame is compared with the images corresponding to the video signals of the previous preset number of frames. Based on the comparison results, the image corresponding to the video signal of the current frame is annotated and output.

9. The video signal processing method as described in claim 8, characterized in that, The comparison processing steps include: Calculate the similarity of the images. When the similarity is greater than or equal to a preset first similarity threshold, segment the image into multiple units. Associate the units on the two images accordingly; Calculate the similarity between corresponding related units; Extract regions composed of units whose similarity is less than or equal to a preset second similarity threshold.

10. A video display, characterized in that, include: Display screen, processing module, and storage module; The storage module stores a program that can be executed by the processing module to implement the video signal processing method as described in any one of claims 1 to 9.

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