Vision attention based video encoding method

Abstract

The invention relates to a video coding method based on the vision attention, which is characterized in that the vision attention property of human eyes is introduced into the video coding; through the analysis of the local motion of macro-blocks, the intensity of the edge and the active degree of the texture, the macro-blocks can be classified into local motion macro-block, edge macro-block, smoothing macro-block and texture macro-block; the quantification parameter of the macro-blocks is adjusted based on the different attentions of human eyes to the four types of the macro-blocks. The invention has the advantages that the calculation amount is increased no more than four percent; simultaneously, the coding efficiency can be increased by ten percent; in addition, the subjective quality of the video coding can be improved.

Description

technical field [0001] The invention relates to a video encoding method based on visual attention. In particular, the incorporation of human visual attention into video coding is quite different from existing methods. Background technique [0002] ITU-T and ISO jointly launched the new video coding standard H.264 / AVC. H.264 / AVC adopts and develops advanced technologies in video coding in recent years, and is famous for its high coding efficiency and network friendliness. But it is still based on the motion compensation hybrid coding scheme of the previous video coding standard, the main differences are: enhanced motion prediction capability; accurately matched smaller block transform; adaptive in-loop filter; enhanced entropy coding. Test results show that these new features improve coding efficiency by about 50% over previous standards. However, with the improvement and maturity of various compression coding techniques, the compression efficiency has reached a high level...

AI Technical Summary

Problems solved by technology

However, the above method also has the following disadvantages: First, to obtain the motion vectors of each macroblock of the coded frame before coding, the current frame must be pre-coded, which will introduce twice the amount of calculation in the original coder

At the same time, most of the above-mentioned algorithms consume a considerable amount of calculation in determining the region of interest, such as the segmentation of video objects, the detection of face regions, and the extraction of local motion regions, which are difficult to apply in occasions with high real-time requirements

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