Monitoring video compression and reconstruction method based on visual attention mechanism

Abstract

The invention relates to a monitoring video compression and reconstruction method based on a visual attention mechanism. The method comprises the following steps: dividing a monitoring video into multiple video frame groups, wherein each video frame group determines a key frame; determining an interested region in each video; compressing and reconstructing the key frame and the non-key frame, wherein the step of compressing and reconstructing the non-key frame comprises steps of obtaining image residual obtained by subtracting pixel values of the non-key frame and the corresponding reconstructed key frame, performing blocked compression of different degrees according to the interested region and the non-interested region, reconstructing the compressed blocks of the image residuals at different regions by using different algorithms, and then adding the reconstructed compressed block with the corresponding reconstructed key frame to obtain the reconstructed non-key frame; and finally arranging and reconstructing the reconstructed key frame and the reconstructed non-key frame according to the order before reconstruction, thereby obtaining the monitoring video. The monitoring video iscompressed in different measurement ratio based on the residual application visual attention mechanism blocking, the reconstruction effect is guaranteed, and the compression ratio is reduced.

Description

Technical field [0001] The invention relates to the field of video compression and reconstruction, in particular to a monitoring video compression and reconstruction method based on a visual attention mechanism. Background technique [0002] Visual information is accurate, intuitive, vivid, efficient, widely available and large in capacity. At present, the processing of visual images is mainly static processing. Video analysis and processing technology includes processing of a certain frame of static image and processing of related multi-frame images. [0003] Video technology has been widely used in all walks of life, and video surveillance is one of the most important aspects. A series of surveillance video-based target detection and tracking, motion segmentation and recognition, face recognition and anomaly detection have been continuously developed and practically applied, and they are widely used in traffic monitoring and management, security and wireless sensing systems. Wi...

AI Technical Summary

Problems solved by technology

Many of the above methods improve the degree of compression by reducing spatial redundancy or temporal redundancy information. Although they can significantly improve the degree of video compression and ensure a certain reconstruction quality, the above methods still retain more redundant information. The image quality of the composition is also relatively poor, and there is room for further improvement

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