Adaptive background updating video compression and transmission method and system

Abstract

An embodiment of the invention discloses an adaptive background updating video compression and transmission method. The method includes the steps: acquiring background frame images through an inter-frame difference algorithm and repeatedly acquiring new background frame images every N frames; performing difference calculation for the new background frame images and the background frame images, updating the background frame images by the aid of the new background frame images when a result is larger than a set threshold value, performing differential operation for a current video frame image and the background frame images, acquiring a foreground frame image comprising moving objects of the current frame image and transmitting the foreground frame image to a video terminal; and overlapping the background frame images and the foreground frame image by the video terminal to reconstruct an original video. The embodiment of the invention further discloses an adaptive background updating video compression and transmission system. By the aid of the method, coordinate parameters of the moving objects are omitted when the images are composited, the background frame images and the foreground frame image are directly and adaptively overlapped and reconstructed, information redundancy cannot be increased, and transmission bandwidth resources are saved.

Description

technical field [0001] The invention relates to a video compression method, in particular to a video compression transmission method and system for adaptive background update modeling. Background technique [0002] At present, in the existing technology, there are many methods of video compression, but generally speaking, they are all based on compression coding. Various compression methods have advantages and disadvantages. When the compression rate is greater, the quality of the video will be worse. Such as AVI encoding, MPEG-4 encoding and so on. In recent years, with the development of compressed sensing, people have applied compressed sensing to video compression, but the computational complexity of the algorithm is relatively large, and sometimes the effect is not ideal. [0003] For example, the Chinese patent with publication number CN101729902A discloses a video compression method, which adopts different compression methods for background and moving objects for vid...

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Problems solved by technology

[0002] At present, in the existing technology, there are many methods of video compression, but generally speaking, they are all based on compression coding. Various compression methods have advantages and disadvantages. When the compression rate is greater, the quality of the video will be worse. Such as AVI encoding, MPEG-4 encoding, etc.

In recent years, with the development of compressed sensing, people have applied compressed sensing to video compression, but the computational complexity of the algorithm is relatively large, and sometimes the effect is not ideal

[0003] For example, the Chinese patent with publication number CN101729902A discloses a video compression method, which adopts different compression methods for background and moving objects for video image transmission, and uses high-quality reference frames for encoding and decoding for the background, and uses a high-quality reference frame for the background. Ordinary reference frames are used for encoding and decoding. This method will make the background and foreground clarity different, and the video picture will be uncoordinated, which is not conducive to improving readability.

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