The video quality diagnosis system can classify and analyze some common video problems, effectively alleviate the operation and maintenance challenges of the video surveillance system, and improve the user's efficiency in the use of the monitoring system. Of course, we should also see that as a new thing, there are many areas where video quality diagnostic systems need to be improved. It requires the joint efforts of manufacturers, users, and competent authorities to truly realize the market application of products.
Quality diagnostic tests have poor night use
Due to the very complex lighting conditions at night, various lighting lights make the video bright, causing the screen to flicker and so on. It cannot be judged whether it is the camera itself or the influence of the ambient light, which has a great influence on the video quality diagnosis algorithm. Currently, existing video detection products on the market have the problem of poor night-time use.
Monitoring manufacturers coding format is not uniform, poor compatibility
Currently, there are many monitoring equipment manufacturers, and there is no uniform format for video encoding, which causes many non-mainstream manufacturers' products to fail to be decoded. If there is no manufacturer's decoding library, the device cannot be decoded and the video quality diagnosis can be completed. This is also the current problem in the entire industry.
There is no standard for detection accuracy, it is difficult to define
For various types of video quality problems mentioned above, generally rely on subjective experience to determine whether it is a quality problem, such as color cast, snowflake, etc. If it is a slight color anomaly or snow, etc., may be observed by different people The result will be different, that is, some people think that there are quality problems, and some people think it is normal. Without a unified standard of judgment, accuracy, etc. is difficult to define.
A wide variety of video quality issues are difficult to cover
The current video quality type is only a summary of the most common quality problems, but there are many, such as the middle of a slender white line, video ghosting, shadows, some black screen part of the stripes, there is a menu subtitles, etc. Common video quality issues.
Quality diagnostic tests have poor night use
Due to the very complex lighting conditions at night, various lighting lights make the video bright, causing the screen to flicker and so on. It cannot be judged whether it is the camera itself or the influence of the ambient light, which has a great influence on the video quality diagnosis algorithm. Currently, existing video detection products on the market have the problem of poor night-time use.
Monitoring manufacturers coding format is not uniform, poor compatibility
Currently, there are many monitoring equipment manufacturers, and there is no uniform format for video encoding, which causes many non-mainstream manufacturers' products to fail to be decoded. If there is no manufacturer's decoding library, the device cannot be decoded and the video quality diagnosis can be completed. This is also the current problem in the entire industry.
There is no standard for detection accuracy, it is difficult to define
For various types of video quality problems mentioned above, generally rely on subjective experience to determine whether it is a quality problem, such as color cast, snowflake, etc. If it is a slight color anomaly or snow, etc., may be observed by different people The result will be different, that is, some people think that there are quality problems, and some people think it is normal. Without a unified standard of judgment, accuracy, etc. is difficult to define.
A wide variety of video quality issues are difficult to cover
The current video quality type is only a summary of the most common quality problems, but there are many, such as the middle of a slender white line, video ghosting, shadows, some black screen part of the stripes, there is a menu subtitles, etc. Common video quality issues.
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