[ Huaqiang Security Network News ] The emergence of intelligent analysis technology can solve the problems faced by high-definition video surveillance systems to a certain extent. In high-definition video surveillance systems, intelligent video analysis has a basis because of high-quality video sources. In addition, many smart technology applications only have practicality based on high-definition video, such as face recognition applications. High-definition video technology can bring us high-definition high-quality video sources with rich and complete information. Without high-quality video sources, video intelligence analysis will affect the accuracy due to video resolution problems, and will also be lost due to scene problems. The amount of information. 
First, intelligent video analysis technology can be used to further extract effective information for high-precision encoding, reducing the occupation of bandwidth invalid information. For example, the video scene can be texture segmented, and then the video information is further converted into semantic information, and the image encoding is converted into an understanding of the image, so that a scene can be expressed as a combination of objects such as buildings, roads, and targets, thereby simplifying The amount of information.
Secondly, on the timeline of the video, using intelligent analysis techniques such as motion detection, event detection, and behavior analysis, selective video storage and alarm event storage can be performed on the video, so that a large amount of redundant video can be filtered out. Information occupies storage space. At present, this mode is widely used in railway integrated video surveillance systems, that is, fragment storage is performed only when there are user-defined abnormal events in the scene, which greatly saves the cost of the storage device.
Again, within the spatial extent of the video, the user can store and process only the region of interest, which can also greatly reduce the problems caused by increased video resolution. For example, a video scene contains some unrelated areas such as the sky, and this area can be stored without being stored, so that each frame of image can save a certain amount of storage space.
Finally, using intelligent technologies such as video content analysis and video search, we can quickly locate event videos, implement tagged video data management and data query, thereby improving the data management efficiency of the entire video surveillance system. Conversely, without video intelligence analysis, the HD video surveillance system only stays in the early stages of “seeing†and does not rise to the advanced stage of “useâ€.
In terms of implementation, the front-end and back-end intelligent applications are very meaningful. In front-end applications, intelligent algorithms embedded in high-definition cameras can realize real-time analysis of video data and flexibly determine the transmission and storage strategies of video streams, thereby saving a lot of resources consumed by redundant video information. In the back-end application, intelligent technology is applied to the back-end, combined with cloud computing and cloud storage technologies, enabling intelligent retrieval and intelligent storage of the entire HD monitoring system.
Therefore, high-definition video and intelligent technology are the basis for mutual promotion and mutual development. In essence, high-definition video only provides the content of data, and intelligent technology is the first use and consumption of content, while generating two Secondary data and content. The broader application of HD video surveillance systems must be based on further data mining. Through deep information mining, it will surely produce rich and colorful application solutions in various industries.
As the resolution of high-definition video continues to increase, it will provide more and more clear data to further promote the development of intelligent technology. At the same time, the continuous development of intelligent technology will also promote the further development of high-definition video for high-definition video. The promotion of monitoring systems provides strong support.
Secondly, on the timeline of the video, using intelligent analysis techniques such as motion detection, event detection, and behavior analysis, selective video storage and alarm event storage can be performed on the video, so that a large amount of redundant video can be filtered out. Information occupies storage space. At present, this mode is widely used in railway integrated video surveillance systems, that is, fragment storage is performed only when there are user-defined abnormal events in the scene, which greatly saves the cost of the storage device.
Again, within the spatial extent of the video, the user can store and process only the region of interest, which can also greatly reduce the problems caused by increased video resolution. For example, a video scene contains some unrelated areas such as the sky, and this area can be stored without being stored, so that each frame of image can save a certain amount of storage space.
Finally, using intelligent technologies such as video content analysis and video search, we can quickly locate event videos, implement tagged video data management and data query, thereby improving the data management efficiency of the entire video surveillance system. Conversely, without video intelligence analysis, the HD video surveillance system only stays in the early stages of “seeing†and does not rise to the advanced stage of “useâ€.
In terms of implementation, the front-end and back-end intelligent applications are very meaningful. In front-end applications, intelligent algorithms embedded in high-definition cameras can realize real-time analysis of video data and flexibly determine the transmission and storage strategies of video streams, thereby saving a lot of resources consumed by redundant video information. In the back-end application, intelligent technology is applied to the back-end, combined with cloud computing and cloud storage technologies, enabling intelligent retrieval and intelligent storage of the entire HD monitoring system.
Therefore, high-definition video and intelligent technology are the basis for mutual promotion and mutual development. In essence, high-definition video only provides the content of data, and intelligent technology is the first use and consumption of content, while generating two Secondary data and content. The broader application of HD video surveillance systems must be based on further data mining. Through deep information mining, it will surely produce rich and colorful application solutions in various industries.
As the resolution of high-definition video continues to increase, it will provide more and more clear data to further promote the development of intelligent technology. At the same time, the continuous development of intelligent technology will also promote the further development of high-definition video for high-definition video. The promotion of monitoring systems provides strong support.
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