Traffic surveillance video coding method

Abstract

The invention discloses a traffic monitoring video encoding method, which implements traffic monitoring video encoding based on vehicles and background databases, and can effectively remove the global redundancy existing in the traffic monitoring video in the time dimension after paying a certain storage space cost. In the end, the overall effect is to effectively improve the overall encoding performance of traffic surveillance video without significantly increasing the complexity of encoding and decoding.

Description

technical field [0001] The invention relates to the technical field of video coding, in particular to a traffic monitoring video coding method. Background technique [0002] In recent years, with the rapid development of smart transportation, the amount of surveillance video data has experienced explosive growth. In order to effectively store and transmit surveillance video data, the first problem to be solved is the encoding of surveillance video. [0003] Currently, surveillance video compression usually adopts the common video coding standard H.264 / AVC or H.265 / HEVC. However, considering some characteristics of the surveillance video, such as the stillness of the surveillance camera, direct application of the general video coding technology to the coding of the surveillance video cannot make full use of the inherent characteristics of the surveillance video. In order to further improve the performance of surveillance video coding, many researchers have invented a series...

AI Technical Summary

Problems solved by technology

[0009] 1. The background encoding technology based on high-quality background frames will cause a surge in code streams when generating high-quality background frames, which will have a negative impact on network transmission, and the encoding performance needs to be improved

[0010] 2. The foreground coding technology based on model and object segmentation has difficulties in finely segmenting the foreground at the pixel level, and because the segmented foreground may be irregular in shape, the code rate used to represent it is very huge

When the segmentation effect of foreground pixels is not good, it is easy to cause adverse effects on the improvement of foreground coding efficiency

[0012] 4. The global vehicle encoding technology based on the vehicle 3D model database does not store the texture information of the vehicle, so the reconstruction quality of the vehicle cannot be improved

In addition, the 3D model of the vehicle, the internal and external parameters of the surveillance camera, and the position and attitude information of the vehicle on the road required by this technology are difficult to obtain or estimate, which brings difficulties to the practical application of this technology.

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