Extraction method of video region of interest based on coding information

Abstract

The invention discloses a video interest region extraction method based on visual perception features and coding information, and relates to the field of video coding. The present invention includes the following steps: first extracting the brightness information of the current coded macroblock from the original video stream; then, using the inter-frame prediction mode type of the current coded macroblock to identify the saliency region of the spatial domain visual feature; and then encoding the macroblock of the previous frame The average motion vectors in the horizontal and vertical directions respectively are dynamic double thresholds. According to the comparison results of the horizontal and vertical motion vectors of the current coded macroblock and the dynamic double thresholds, the time-domain visual feature salience area is identified; finally, combined with the spatial domain and The identification result of the saliency region of temporal visual features defines the priority of video interest, and realizes the automatic extraction of video interest. The method of the invention can provide an important coding basis for ROI (Region of Interest, ROI)-based video coding technology.

Description

technical field [0001] The invention belongs to the field of video information processing. Using video coding technology and the principle of human visual perception to realize a fast extraction method of video interest region. The method can automatically analyze the input video stream, and use the encoding information to mark and output the region of interest in the video. Background technique [0002] The latest video coding standard H.264 / AVC uses a variety of advanced coding technologies. While improving the coding performance, its coding complexity also increases sharply, which limits its wide application in multimedia information processing and real-time communication services. People have conducted in-depth research on how to improve the encoding speed of H.264 / AVC, and proposed a large number of fast encoding optimization algorithms, but most of the algorithms do not distinguish the visual importance of each area in the video image, and use the same method for all ...

AI Technical Summary

Problems solved by technology

[0002] The latest video coding standard H.264 / AVC adopts a variety of advanced coding technologies. While improving the coding performance, its coding complexity also increases sharply, which limits its wide application in multimedia information processing and real-time communication services.

People have conducted in-depth research on how to improve the encoding speed of H.264 / AVC, and proposed a large number of fast encoding optimization algorithms, but most of the algorithms do not distinguish the visual importance of each area in the video image, and use the same method for all encoding content. The encoding scheme ignores the difference in the human visual system HVS (Human Visual System, HVS) perception of the video scene

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