CN110602481A - Video quality detection method and device in video monitoring system - Google Patents
Video quality detection method and device in video monitoring system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/835—Generation of protective data, e.g. certificates
- H04N21/8358—Generation of protective data, e.g. certificates involving watermark
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Abstract
The invention discloses a method and a device for detecting video quality in a video monitoring system, wherein a customized video source is played on a display device, a picture of the display device is collected by a collection camera, a client requests the live of the collection camera to obtain a live video stream, the live video stream is decoded and detected, or a decoded video image frame is directly obtained from the video monitoring system to be detected. And then outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame. By adopting the technical scheme of the invention, full-automatic detection is realized, the detection efficiency is improved, and the detection accuracy is greatly improved.
Description
Technical Field
The invention belongs to the technical field of video quality detection, and particularly relates to a video quality detection method and device in a video monitoring system.
Background
In the field of video monitoring automation test, video pictures are often required to be tested. For example, it is necessary to observe video pictures such as live videos and replays and determine whether the video pictures are displayed on a screen or jammed. Whether the video picture has the phenomena of screen splash, blockage and the like can be conveniently observed by human eyes, but how to detect the video picture by an automatic means is a problem to be solved urgently in the automation field.
The detection of the quality of the video pictures in the current automatic test is still completed in a semi-manual mode, firstly, the video pictures such as live pictures, playback pictures and the like are automatically captured and stored, and then, a tester observes the pictures to confirm whether the pictures are normal or not.
However, the technical problems of the above detection methods are also obvious, such as greatly reducing the efficiency of automated testing by semi-manual method, which affects the testing efficiency; the probability of result recording errors is improved in a manual mode; for some smaller details, the manual mode may not be able to distinguish effectively, so that the test result is not accurate.
Disclosure of Invention
The invention aims to provide a method and a device for detecting video quality in a video monitoring system, which overcome the problems in the background technology, realize full-automatic detection, improve the detection efficiency and greatly improve the detection accuracy.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a video quality detection method in a video monitoring system is used for detecting the video quality of the video monitoring system to be detected, and comprises the following steps:
ordering a pre-customized video source through a video monitoring system to be detected, wherein the gray value of each frame in a GOP frame group in the pre-customized video source is different, and a preset digital watermark is superposed on each GOP frame group;
acquiring a decoded video image frame corresponding to the pre-customized video source;
and analyzing the decoded video image frame, and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
Further, the outputting the detection result according to the digital watermark in the GOP frame group and the gray value of each frame includes:
and detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
Further, the outputting the detection result according to the digital watermark in the GOP frame group and the gray value of each frame further includes:
counting the digital watermark detection result on the decoded video image within a preset time period, comparing the digital watermark detection result with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, determining that the digital watermark detection result is blocked, and outputting the detection result of the blocked picture;
or counting the digital watermark detection result on the decoded video image within the preset time period, checking whether continuous and repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
Further, the outputting the detection result according to the digital watermark in the GOP frame group and the gray value of each frame includes:
and detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source customized in advance, and outputting a detection result of the decoding abnormality.
Further, the gray value interval of each frame in the GOP frame group is a set value.
The invention also provides a video quality detection device in a video monitoring system, which is used for detecting the video quality of the video monitoring system to be detected, and the video quality detection device in the video monitoring system comprises:
the system comprises an acquisition module, a video processing module and a video processing module, wherein the acquisition module is used for requesting a pre-customized video source through a video monitoring system to be detected, the gray value of each frame in a GOP frame group in the pre-customized video source is different, a preset digital watermark is superposed on each GOP frame group, and a decoded video image frame corresponding to the pre-customized video source is acquired;
and the analysis module is used for analyzing the decoded video image frames and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
Further, the analysis module outputs a detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and executes the following operations:
and detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
Further, the analysis module outputs a detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and further performs the following operations:
counting the digital watermark detection result on the decoded video image within a preset time period, comparing the digital watermark detection result with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, determining that the digital watermark detection result is blocked, and outputting the detection result of the blocked picture;
or counting the digital watermark detection result on the decoded video image within the preset time period, checking whether continuous and repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
Further, the analysis module outputs a detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and executes the following operations:
and detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source customized in advance, and outputting a detection result of the decoding abnormality.
The invention provides a method and a device for detecting video quality in a video monitoring system, wherein a customized video source is played on a display device, a collection camera of the video monitoring system collects the picture of the display device, a client requests the live of the collection camera to acquire a live video stream, the live video stream is detected, and a detection result is output according to a digital watermark in a GOP frame group and the gray value of each frame. By adopting the technical scheme of the invention, full-automatic detection is realized, the detection efficiency is improved, and the detection accuracy is greatly improved.
Drawings
Fig. 1 is a flow chart of a video quality detection method in a video monitoring system according to the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the drawings and examples, which should not be construed as limiting the present invention.
The general idea of the invention is to utilize the image detection technology to judge whether the video picture has abnormal situations such as blocking or screen splash. The customized video source is requested through the video monitoring system to be detected (the video stream adopts pure gray pictures, for example, each frame uses a gray image, and each frame group is superposed with a digital watermark), and whether abnormal phenomena such as screen splash, blockage and the like occur in the pictures or not is determined through analyzing the decoded video image frames. When the detected gray value in one frame group is deviated from or consistent with the overall gray value of a customized video source, the picture is considered to be normal (i.e. no screen-skip or stuck phenomenon), otherwise, if a plurality of pictures with the same gray value or pictures with non-pure colors appear in the same frame group, the picture is considered to be abnormal. In addition, for different frame groups, if the digital watermarks appearing on the pictures are the same, the pictures are jammed, otherwise, the pictures are normal.
The customized video source of the present invention is a video file M prepared in advance for testing whether the video decoding function is normal. The video file M needs to customize the video content in addition to meeting specific requirements such as a specified bit rate, resolution, frame rate, etc. The video file M adopted by the technical scheme has the following requirements:
the video content is a pure gray picture, i.e. each frame is decoded to be a pure gray picture.
The gray value of each frame in each GOP frame group is different, the available range of the gray value is 0-255, and a continuous section of gray value or an equal difference gray value can be adopted for each frame picture. For example, assuming that each GOP frame group includes 50 frames, one frame may be given a gray value, e.g., 0, 1, 2, 3 … … 49, respectively; or any gray scale range in the range. Alternatively, an equal difference gray scale value, such as 0, 5, 10, 15 …, and so on, may be used. The technical scheme preferably adopts the equal difference gray value, namely the gray value interval of each frame is a set fixed value, for example, 5, so that the success rate of analyzing the gray value by normal decoding of the picture can be increased.
A gray scale range can be used continuously for a plurality of GOP frame groups, for example, the first frame group is 0-49, the second frame group is 50-99, and the like, until 255 later, the conversion is continued from 0.
Each GOP frame group needs to be superimposed with a digital watermark for distinguishing different GOP frame groups. Digital watermarks may take the form of natural numbers, i.e., 0, 1, 2, 3, 4, 5 … …, and so on. For example, a first frame group is superimposed with digital watermark 0, a second frame group is superimposed with digital watermark 1, and so on, and when a specified number (e.g., 30000) is reached, it may start from the beginning. The digital watermark is superimposed directly into the picture and uses other non-gray colors (assuming red) for differentiation.
And after customizing the video source according to the specification, performing video quality detection by adopting the customized video source.
As shown in fig. 1, a method for detecting video quality in a video monitoring system according to the present technical solution includes:
and step S1, requesting a pre-customized video source through the video monitoring system to be detected, wherein the gray value of each frame in the GOP frame group in the pre-customized video source is different, and a preset digital watermark is superposed on each GOP frame group.
In order to detect the video monitoring system to be detected, the embodiment inputs a pre-customized video source into the video monitoring system to be detected, so that the client can request the video monitoring system to be detected. In order to realize convenience, a simulation IPC is adopted to register and be online on a video management platform to be monitored by a video to be detected, and a customized video source is used as an input stream of the simulation IPC, so that the simulation IPC can be requested through a client.
On the client, a decoder can be configured to put live streams of the simulated IPC on the wall, realize hard decoding and display video image frames on a television wall; the decoded video image frames can also be displayed on the display of the client by soft decoding.
It should be noted that, in the video source customized in advance by the present technical solution, the gray value of each frame in the GOP frame group is different, and each GOP frame group is superimposed with a preset digital watermark, which may be a continuous number or a pattern ordered according to a rule, and is not described here again.
And step S2, acquiring the decoded video image frame corresponding to the pre-customized video source.
There are two specific implementations of this step, which are illustrated by the following examples.
In embodiment 1, a video monitoring system to be detected requests the pre-customized video source, performs hard decoding, goes to the wall, configures a video image frame monitored and played by a collection camera, collects and encodes the image, stores the image frame locally, and then decodes a locally stored video stream to obtain a decoded video image frame corresponding to the pre-customized video source.
In order to achieve the convenience, the embodiment adopts a simulation IPC to register and be online on a video management platform to be monitored, and a decoder is configured to upload the live stream of the simulation IPC to the wall. The customized video source is used as the input stream of the simulation IPC, and the customized video source can be displayed on the wall to a television wall or a display of a client and the like.
A camera is used as a capture camera to target live pictures on the display device. In order to reduce the influence of the environment on the test result, the acquisition camera can be aligned to the live picture on the display device, and the focal length and the distance are adjusted, so that the monitoring range of the acquisition camera is fixed in the picture of the display device, namely only the pure-color picture and the superposed digital watermark of the display device exist in the picture.
Therefore, live pictures of the camera are collected through on-demand, and the live video stream is stored in a local file, so that the video stream can be analyzed subsequently to detect whether the decoding is incorrect or a pause phenomenon exists. In this embodiment, the live video stream of the capture camera is acquired, and the live video stream can be directly stored in a local file by the on-demand client, and read from the local file by the analysis device for analysis, or the media stream is directly sent to a subsequent analysis device for analysis in an RTSP manner.
And in embodiment 2, the video monitoring system to be detected requests the pre-customized video source, performs soft decoding and outputs the decoded video image frame, so that the decoded video image frame corresponding to the pre-customized video source can be directly obtained for subsequent analysis.
Namely, the video monitoring system to be detected can directly output the decoded video image frame corresponding to the video source customized in advance, and the analysis equipment can acquire the decoded video image frame corresponding to the video source customized in advance only by providing a corresponding interface for subsequent analysis.
And step S3, analyzing the decoded video image frame, and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
The analysis device of the embodiment can be a server or a common PC computer, and analyzes the decoded video image frame. During decoding, the I frames are divided into different GOP frame groups, and analysis is performed according to the digital watermark superposed in the GOP frame groups and the gray value of each frame in the GOP frame groups, and the method specifically comprises the following steps:
and embodiment 3, detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
It is easily understood that decoding a live video stream to obtain a video image and identifying a digital watermark in the video image are well established techniques in the prior art. The digital watermark in the technical scheme adopts a red or other non-gray font, and is easy to identify.
After each frame of video image is decoded, whether the digital watermark is detected or not is judged, if the digital watermark is detected, the decoding is correct, and the detected digital watermark is recorded for subsequent analysis; if the digital watermark can not be detected, the decoding is incorrect, and the detection result that the decoding is incorrect is output. In the present embodiment, there is no consideration given to capturing video captured by a camera or encoding for the moment.
For example: if the digital watermark detected in the first GOP frame group is the natural number '1', recording that the digital watermark corresponding to the first GOP frame group is the natural number '1', and if the digital watermark is not detected, outputting a detection result that the decoding is incorrect.
And 4, detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source, and outputting a detection result of the decoding abnormality.
In this embodiment, for a GOP frame group, a color distribution histogram and a gray value of each frame in the GOP frame group are calculated, and the color distribution histogram should only have gray color and red color (red is a color set by the digital watermark, and the digital watermark may also be set to other non-gray colors) under normal decoding. The digital watermark part in the picture can be removed by image transformation and other techniques, and only the gray part is left. By calculating the gray level histogram, the distribution of the gray levels in the picture can be judged.
According to the pre-customized arrangement rule of the gray values in each GOP frame group in the video source, each frame has only one gray value, and one GOP frame group is not repeated. In this embodiment, the gray value of each frame in the GOP frame group is recorded, and compared with the video source customized in advance, if the gray value is wholly shifted by one gray unit or is consistent with the gray value distribution rule in the video source customized in advance, the picture decoding is considered to be normal, otherwise, the picture decoding is considered to be failed or abnormal, and the detection result of the decoding abnormality is output.
For example, for a group of GOP frames, the gray value of each frame in the group of GOP frames is detected, if arranged as: 0. 5, 10, 15 …, and if the gray value of each frame in the GOP frame group in the video source customized in advance is consistent (wholly shifted by one gray unit or the same), the picture decoding is considered normal, otherwise, the picture decoding is considered failed or abnormal, and the detection result of the abnormal decoding is output.
Embodiment 5, the digital watermark detection result on the decoded video image within the predetermined time period is counted, and compared with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, it is determined that the image is stuck, and the detection result of the image stuck is output. Or counting the digital watermark detection result on the decoded video image within a preset time period, checking whether continuous repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
In this embodiment, the digital watermark detection result in a predetermined time period is counted, assuming that 30 seconds are used, one GOP frame group is used every second, the digital watermark portion in each GOP frame group is read, if the digital watermark is identical to that in the original video stream (i.e., a continuous natural number), it is determined that the picture is normal without pause, otherwise, if the intermediate natural number is repeated, it is determined that the picture is paused, and the detection result of the picture pause is output.
For example, within 30 seconds, 30 GOP frame groups are detected, and the recorded digital watermark is: 0. 1, 2, 3, 4, 5 … …, 29, which is the same as the digital watermark corresponding to each GOP frame group in the video source customized in advance, the picture is considered to be normal without pause.
Conversely, if the recorded digital watermark is: 0. 1, 2, 3, 4, 5 … …, if the digital watermark corresponding to each GOP frame group in the video source customized in advance is found to be inconsistent, the video picture is considered to be blocked. Preferably, as long as the digital watermark which is continuously repeated occurs, namely the video picture is considered to be blocked, the detection result of the video picture blocking is output.
Through the embodiment, whether the decoding abnormity or the pause phenomenon exists can be judged by analyzing the live video stream, and the analysis is continued until the analysis task is finished or the analysis time is enough. Finally, the technical scheme can also store the video pictures with the abnormalities, and count and record the times of the abnormalities so as to generate a final test result for reporting.
Correspondingly to the above method, the present technical solution further provides an embodiment of a video quality detection apparatus in a video monitoring system, where the apparatus is used for detecting video quality of a video monitoring system to be detected, and includes:
the system comprises an acquisition module, a video processing module and a video processing module, wherein the acquisition module is used for requesting a pre-customized video source through a video monitoring system to be detected, the gray value of each frame in a GOP frame group in the pre-customized video source is different, a preset digital watermark is superposed on each GOP frame group, and a decoded video image frame corresponding to the pre-customized video source is acquired;
and the analysis module is used for analyzing the decoded video image frames and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
Corresponding to the above method, the analysis module of this embodiment outputs the detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and executes the following operations:
and detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
In addition, the analysis module outputs a detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and also executes the following operations:
counting the digital watermark detection result on the decoded video image within a preset time period, comparing the digital watermark detection result with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, determining that the digital watermark detection result is blocked, and outputting the detection result of the blocked picture;
or counting the digital watermark detection result on the decoded video image within the preset time period, checking whether continuous and repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
In addition, the analysis module outputs a detection result according to the digital watermark in the GOP frame group and the gray value of each frame, and executes the following operations:
and detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source customized in advance, and outputting a detection result of the decoding abnormality.
It should be noted that the acquisition module of the device of the present embodiment has two implementation manners, which correspond to embodiment 1 and embodiment 2, respectively. Corresponding to embodiment 1, the device includes a collecting camera and a corresponding decoder, the collecting camera monitors video image frames (corresponding to the video source customized in advance) played by the video monitoring system to be detected, collects images, encodes the images, stores the images in the local area, and then decodes the locally stored video stream to obtain decoded video image frames corresponding to the video source customized in advance. Under the condition, the device directly collects the video played by the video monitoring system to be detected, the video monitoring system to be detected has no configuration requirement on any equipment aspect, and the detection can be directly carried out on any video monitoring system. Corresponding to embodiment 2, the acquisition module of the device only provides an interface for docking with the video monitoring system to be detected, acquires the decoded video image frame, is suitable for the output interface of the decoded video image frame of the video monitoring system to be detected, and can be directly docked.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and those skilled in the art can make various corresponding changes and modifications according to the present invention without departing from the spirit and the essence of the present invention, but these corresponding changes and modifications should fall within the protection scope of the appended claims.
Claims (10)
1. A video quality detection method in a video monitoring system is used for detecting the video quality of the video monitoring system to be detected, and is characterized in that the video quality detection method in the video monitoring system comprises the following steps:
ordering a pre-customized video source through a video monitoring system to be detected, wherein the gray value of each frame in a GOP frame group in the pre-customized video source is different, and a preset digital watermark is superposed on each GOP frame group;
acquiring a decoded video image frame corresponding to the pre-customized video source;
and analyzing the decoded video image frame, and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
2. The method of claim 1, wherein outputting the detection result according to the digital watermark in the GOP frame group and the gray level value of each frame comprises:
and detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
3. The method of claim 1, wherein outputting the detection result according to the digital watermark in the GOP frame group and the gray level value of each frame comprises:
and detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source customized in advance, and outputting a detection result of the decoding abnormality.
4. The method of detecting video quality in a video surveillance system according to claim 2, wherein outputting the detection result based on the digital watermark in the GOP frame group and the gray level value of each frame, further comprises:
counting the digital watermark detection result on the decoded video image within a preset time period, comparing the digital watermark detection result with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, determining that the digital watermark detection result is blocked, and outputting the detection result of the blocked picture;
or counting the digital watermark detection result on the decoded video image within the preset time period, checking whether continuous and repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
5. The method as claimed in claim 1, wherein the gray value interval of each frame in the GOP frame group is a predetermined value.
6. The utility model provides a video quality detection device among video monitor system for treating the video quality who detects video monitor system detects, its characterized in that, video quality detection device among the video monitor system includes:
the system comprises an acquisition module, a video processing module and a video processing module, wherein the acquisition module is used for requesting a pre-customized video source through a video monitoring system to be detected, the gray value of each frame in a GOP frame group in the pre-customized video source is different, a preset digital watermark is superposed on each GOP frame group, and a decoded video image frame corresponding to the pre-customized video source is acquired;
and the analysis module is used for analyzing the decoded video image frames and outputting a detection result according to the digital watermark in the GOP frame group and the gray value of each frame.
7. The video quality detection device of claim 6, wherein the analysis module outputs the detection result according to the digital watermark in the GOP frame group and the gray level value of each frame, and performs the following operations:
and detecting the digital watermark superposed in each GOP frame group, recording the detected digital watermark if the digital watermark is detected, and outputting a detection result of incorrect decoding if the digital watermark is not detected.
8. The video quality detection device of claim 6, wherein the analysis module outputs the detection result according to the digital watermark in the GOP frame group and the gray level value of each frame, and performs the following operations:
and detecting the gray value of each frame in each GOP frame group, comparing the gray value with the original gray value of a video source customized in advance, judging that the decoding is abnormal if the gray value is inconsistent with the original gray value of the video source customized in advance, and outputting a detection result of the decoding abnormality.
9. The video quality detection apparatus of claim 7, wherein the analysis module outputs the detection result according to the digital watermark in the GOP frame group and the gray level value of each frame, and further performs the following operations:
counting the digital watermark detection result on the decoded video image within a preset time period, comparing the digital watermark detection result with the original digital watermark of the video source customized in advance, if the digital watermark detection result is inconsistent with the original digital watermark of the video source customized in advance, determining that the digital watermark detection result is blocked, and outputting the detection result of the blocked picture;
or counting the digital watermark detection result on the decoded video image within the preset time period, checking whether continuous and repeated digital watermarks exist, if so, determining that the image is stuck, and outputting the detection result of the image stuck.
10. The apparatus of claim 6, wherein the interval of the gray values of each frame in the group of GOP frames is a predetermined value.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034430A (en) * | 2020-12-02 | 2021-06-25 | 武汉大千信息技术有限公司 | Video authenticity detection and identification method and system based on time watermark change analysis |
| CN113766212A (en) * | 2021-08-30 | 2021-12-07 | 浪潮电子信息产业股份有限公司 | Video decoding function test method, test device and test equipment |
| WO2022161209A1 (en) * | 2021-01-26 | 2022-08-04 | 腾讯科技（深圳）有限公司 | Image frame loss detection method, device, storage medium, and computer program product |
| CN113766212B (en) * | 2021-08-30 | 2024-06-04 | 浪潮电子信息产业股份有限公司 | Video decoding function testing method, testing device and testing equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030215129A1 (en) * | 2002-05-15 | 2003-11-20 | Three-Five Systems, Inc. | Testing liquid crystal microdisplays |
| CN102740111A (en) * | 2012-06-15 | 2012-10-17 | 福建升腾资讯有限公司 | Method and device for testing video fluency based on frame number watermarks under remote desktop |
| CN105472385A (en) * | 2015-11-26 | 2016-04-06 | 深圳创维数字技术有限公司 | Video decoding and image output quality detection method and system |
| CN105979332A (en) * | 2015-12-04 | 2016-09-28 | 乐视致新电子科技（天津）有限公司 | Video data detection method and device |
-
2018
- 2018-06-12 CN CN201810601671.1A patent/CN110602481B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030215129A1 (en) * | 2002-05-15 | 2003-11-20 | Three-Five Systems, Inc. | Testing liquid crystal microdisplays |
| CN102740111A (en) * | 2012-06-15 | 2012-10-17 | 福建升腾资讯有限公司 | Method and device for testing video fluency based on frame number watermarks under remote desktop |
| CN105472385A (en) * | 2015-11-26 | 2016-04-06 | 深圳创维数字技术有限公司 | Video decoding and image output quality detection method and system |
| CN105979332A (en) * | 2015-12-04 | 2016-09-28 | 乐视致新电子科技（天津）有限公司 | Video data detection method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113034430A (en) * | 2020-12-02 | 2021-06-25 | 武汉大千信息技术有限公司 | Video authenticity detection and identification method and system based on time watermark change analysis |
| WO2022161209A1 (en) * | 2021-01-26 | 2022-08-04 | 腾讯科技（深圳）有限公司 | Image frame loss detection method, device, storage medium, and computer program product |
| CN113766212A (en) * | 2021-08-30 | 2021-12-07 | 浪潮电子信息产业股份有限公司 | Video decoding function test method, test device and test equipment |
| CN113766212B (en) * | 2021-08-30 | 2024-06-04 | 浪潮电子信息产业股份有限公司 | Video decoding function testing method, testing device and testing equipment |
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