Intra-frame updating method for head and shoulder video sequence

Abstract

The invention discloses an intra-frame updating method for head-shoulder video sequences. The method comprises the following: 1) a step of performing face detection and verification on a face-updating frame image; 2) a step of coding the face-updating frame image, which is to code face-updating frames through a P-frame coding mode by taking a previous common P frame as a reference, perform mandatory intra-frame updating on a face region, namely to integrally update a face-region macro block in the current to-be-coded face-updating frame into an intra-frame coding mode, and update a non-face region according to a conventional intra-frame updating method; and 3) a step of coding a common-frame image, which is to adopt an inter-frame coding mode. The method has the advantages of preventing error diffusion of an error macro block in the face region and improving error control performance at a frame level and a macro-block level. Because the method specially protects the face region, in application occasions of video phones, program broadcast and other head-shoulder video sequence transmission, the method has better video-error recovering performance than the common updating method in an intra-frame coding mode.

Description

technical field [0001] The invention belongs to the field of video transmission and image processing, and specifically relates to research on preventing error diffusion in the transmission process at a video encoding end and focusing on protection of human face regions. Background technique [0002] Over the past ten years, with the rapid development of Internet and wireless communication networks and the increasing demand for video media, video communication for Internet and wireless channels has become a research hotspot in recent years. At present, the commonly used video compression coding usually relies on block-based hybrid coding technology, and uses technologies such as motion compensation prediction, spatial prediction and variable length coding to improve coding efficiency, but does not consider or less considers potential information loss during data transmission. Therefore, the ability of compressed data to resist errors is very fragile. Once a bit error or packe...

AI Technical Summary

Problems solved by technology

These methods prevent the serious spread of video errors to a certain extent, but since the number of macroblocks updated in each frame cannot be too large, video errors still exist in the entire video sequence and cannot be completely prevented

Especially in the head-and-shoulder sequence, the face area is the object that needs to be protected. It is difficult to ensure the rapid and effective selection of macroblocks in traditional methods, and it is also difficult to achieve a good balance between coding efficiency and robustness. Therefore, How to effectively protect the face and suppress errors in the face area has become a current research hotspot

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