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Multi-viewpoint video fractal coding compressing and uncompressing method based on objects

A multi-viewpoint video and fractal coding technology, which is applied in digital video signal modification, TV, electrical components, etc., can solve the problem of extracting video objects without accurate video segmentation methods, and achieve the effect of reducing matching time and improving search speed

Inactive Publication Date: 2013-03-13
南京合检兴智能科技有限公司 +2
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Problems solved by technology

Object-based video coding methods can improve the performance of video compression coding and make it more flexible, but there is no specific method for accurately segmenting video to effectively extract video objects

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  • Multi-viewpoint video fractal coding compressing and uncompressing method based on objects
  • Multi-viewpoint video fractal coding compressing and uncompressing method based on objects
  • Multi-viewpoint video fractal coding compressing and uncompressing method based on objects

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Embodiment Construction

[0137] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. Only the brightness component Y is taken as an example, and the compression steps of the color difference components U and V are the same as the brightness components.

[0138] The present invention proposes an object-based multi-viewpoint video fractal coding compression and decompression method, such as figure 1 The middle viewpoint is selected as the reference viewpoint, and the video compression method based on pentagonal motion estimation and fractal coding based on center bias is used. Fast parallax estimation is added to the compression of other viewpoints; pre-matching conditions are used to obtain block matching that satisfies the conditions , and improve the accuracy of block matching to half image, improve the video compression ratio and coding efficiency; taking five-viewpoint video as an example, K, L, C, R and S represent one viewpoin...

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Abstract

The invention provides a multi-viewpoint video fractal coding compressing and uncompressing method based on objects and belongs to the technical field of three-dimensional video coding. A large amount of data of a multi-viewpoint three-dimensional video is compressed efficiently to be stored and transmitted. In a coding process, an interested object in a video is obtained through an automatic partition method and compressed and coded through fast disparity estimation and a method of combining pentagon motion estimation forecast and fractal codes, and data redundancy is effectively reduced. A forecast structure K-L-C-R-S specific to a video of five viewpoints of K, L, C, R and S is provided, namely viewpoints R and L are forecasted through a viewpoint C, the viewpoints S and K are forecasted through the viewpoints R and L respectively, and initial frames of the five viewpoints all use I frame. Decoding viewpoint sequences are the same, and loop filtering is used for removing a blocking effect. Under the condition that a good video decoding quality is obtained, coding speed and compression ratio are greatly increased, high flexibility is obtained, and a foundation is laid for real-time application for multi-viewpoint video coding.

Description

Technical field: [0001] The invention belongs to the field of three-dimensional video compression coding, relates to compression coding of multi-viewpoint video, lays a foundation for the real-time application of three-dimensional stereoscopic video coding, and further improves the performance of fractal-based multi-viewpoint stereoscopic video compression coding. Background technique: [0002] Fractal theory was first applied to image compression, and affine transformation was used for compression coding, which greatly improved the coding efficiency and became the mainstream method in fractal image coding. In recent years, some scholars and researchers have applied the method of fractal image compression to the compression of video sequences. The most classic and influential ones refer to (C.S.Kim, R.C.Kim, S.U. Lee. Fractal coding of video sequence using circular prediction mapping and noncontractive interframe mapping[J].IEEE Transactions on Image Processing,1998,7(4):601...

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Application Information

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IPC IPC(8): H04N7/26H04N7/50H04N13/00H04N19/597
Inventor 祝世平李丽芸张玲
Owner 南京合检兴智能科技有限公司
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