Object and fractal-based multi-ocular three-dimensional video compression encoding and decoding method

Abstract

The invention discloses an object and fractal-based multi-ocular three-dimensional video compressing and decompressing method. In multi-ocular three-dimensional video encoding, a middle ocular video is selected as a reference ocular video and is compressed by using a motion compensation prediction (MCP) principle; and other ocular videos are compressed by using a disparity compensation prediction(DCP)+MCP-based principle. Taking a trinocular video as an example, the middle ocular video is selected as the reference ocular video and is encoded by using a single MCP mode principle, wherein the method comprises the following steps of: first, acquiring a video object segmentation plane, namely an Alpha plane, by a video segmentation method, encoding a start frame by adopting discrete cosine transform (DCT), and performing block motion estimation / compensation encoding on a non-I frame; then, judging the area attribute of an image block by utilizing the Alpha plane, if the block is not in acurrently encoded video object area, then not processing the external block, and if all of the block is in the currently encoded video object area, searching a most similar matching block in a reference frame of a previous frame, namely the middle ocular video, by a full search method; and finally, compressing coefficients of an iteration function system by utilizing a Huffman encoding method, ifpart pixels of the block are in the currently encoded video object area while part pixels are not in the currently encoded video object area, independently processing a boundary block. A left ocular video and a right ocular video are respectively encoded by adopting the MCP+DCP mode; and when the DCP encoding mode is performed, the polarization and the direction in a three-dimensional parallel camera structure are fully utilized.

Description

Technical field: [0001] The invention belongs to the field of video compression coding, relates to compression coding of multi-eye stereoscopic video, in particular to a video compression coding method based on objects and fractals. It lays the foundation for the real-time application of multi-eye stereo video coding, further improves the performance of fractal multi-eye stereo video compression coding, and makes it more practical and popular. Background technique: [0002] The concept of Object-Based (OB) coding was first proposed by the MPEG-4 standard. Using the object-based video compression coding method enables the foreground objects and background objects of each frame of video to be independently coded, which can further improve compression. At the same time, some new functions can be realized at the decoding end, such as independent transmission and decoding for each video object, object and background replacement, object-based video retrieval, especially compared t...

AI Technical Summary

Problems solved by technology

However, in the cyclic predictive coding (CPM) method, in order to ensure that the initial frame can approximately converge to the original image after its own cyclic decoding, the compression process needs to go through complex transformations, searches, and iterations, etc., and the compression time and image quality are difficult to meet the requirements.

At present, the typical fractal image and video compression method has a large amount of calculation, the encoding speed is slow, and the quality of decoding needs to be improved, so the fractal image and video compression method needs further improvement and improvement

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