Comprehensive Interpretation: Application and Value of H.265 in Security Industry
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But today, we still face many challenges in the field of video surveillance. As the resolution of the camera continues to increase, there are larger Mega Pixel sensors, panoramic cameras, and even ten million pixel sensors. At the same time, it is faced with the pressure of network transmission caused by the remote viewing of such large-resolution video, and the storage pressure of the code stream.
It is in response to this situation that ISO/IEC MPEG and ITU-TVCEG have jointly developed the next-generation video compression standard HEVC/H.265. The developers of video coding algorithm standards claim that the use period of a video compression standard is generally 10 years, that is, after a 10-year use period, due to the development of the entire industry chain and the development of science and technology, standard application scenarios and environments will occur. Great changes, for new application scenarios and new application platforms, need to develop more sophisticated algorithms and more advanced standards and specifications. When the MPEG4 standard transitioned to H.264, this pattern was evident.
The trend of video surveillance is high-definition (high definition, high definition +, ultra-high definition), networked, and intelligent. High-definition video brings a lot of pressure to transmission and storage. H.265 is compared to H.264, and it is for high-definition video. A higher compression rate can greatly ease this pressure. For example, for a 5MP resolution H.265 network camera, the 4Mbps H.265 stream decoding effect is comparable to the 8Mbps H.264 image. If the intelligent analysis algorithm is combined with the H.265 encoder, the bit rate can be further reduced and the image quality can be improved. Compared with H.264, it can save a lot of budget expenses for the implementation of video surveillance network solutions and engineering construction.
Under the trend of high-definition, the dominance of H.264 has been challenged by H.265. In reality, although there are SVAC, MPEG4, MJPEG, even Microsoft's VC-1 or Google's VP8, and even the national standard AVS in the field of broadcasting and TV, for now, the compression efficiency of these video compression standards cannot reach the same image quality of H.265. The compression ratio. Although the licensing fee of H.265 is much higher than that of H.264, unlike the subscription of TV programs or the providers of Internet video services in the broadcasting and TV industry, video recording in the field of video surveillance will not be used for external services, so many people in the industry It is predicted that H.265 will continue to be popular in the field of video surveillance. In the next 10 years, H.265 will replace H.264 and become the mainstream video compression standard.
In May 2015, the National Development and Reform Commission and other nine ministries issued the “Opinions on Strengthening the Networked Application of Public Safety Video Surveillance Construction†to increase the “new and reconstructed high-definition camera ratio to 100%†and “gradually increase the construction of high-definition cameras. The number of reconstructions will be "by 2020, the total coverage will be realized, the entire network will be shared, all-time available, and the entire process can be controlled." This means that in the field of public safety, newly-purchased cameras are bound to be high-definition cameras, and HD cameras are particularly suitable for H.265 compression. Just as H.264 replaced MPEG-4 compression in the same year, in a video surveillance network, both H.265 and H.264 compression standards coexist to solve the problem of backward compatibility with cameras, but at the same time increase the overall monitoring. The complexity and instability of the network. In the early stages of H.265 application, this situation was inevitable. As new H.265 compression cameras are replaced with time-lapse H.264 cameras, the entire network is bound to be HD video of the entire network H.265, and the application of H.265 with high-definition video is bound to occur. Bring significant changes to front-end, back-end, storage, intelligence, and display in the entire video surveillance network solution.
H.265 application resolution
Video compression in the field of video surveillance, H.265 replaced by H.264, mainly affects the compression module products and decoding module products, namely IPC, NVR, and platform software with decoding display. IPC and NVR are hard-coded and hard-decoded due to the use of a code chip ASIC or hardware acceleration unit. The traditional H.264 codec chip cannot be upgraded to support H.265. After H.265 Version 1 was officially released in April 2013, although many companies claimed to implement H.265 encoding or decoding, most of them are based on CPU or FPGA implementation and are not suitable for video surveillance applications. In 2014, Hass introduced the complete video surveillance solution reference design based on SOC IPC+NVR for the first time in the industry. Of course, Hass H.265 encoding and decoding program is more abundant now, not only supports H.265 encoding and decoding, but also supports H.265 encoding and decoding of 4K ultra high definition.
In addition to Hass, there are other companies such as Anba, Qualcomm, SONY, NVIDIA, Intel and others that have proposed H.265 with 4K ultra high definition codec SOC or CPU + ASIC codec program. H.265-based IPC, NVR, platform and other product forms ushered in a period of vigorous development.
Further mining of H.265 value
In addition to the trend of high-definition and intelligent trends, there is also a trend of intelligent cooperation with H.265 encoding. From the perspective of the algorithm, the video compression algorithm also uses a large number of intelligent analysis algorithms. Video compression is based on the understanding of the video image scene, effectively eliminating time redundancy, space redundancy, probability redundancy, etc. Under the premise of information, the purpose of compression is reached to be as close as possible to the entropy of the video image information. 
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