吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1110-1115.doi: 10.7964/jdxbgxb201304042

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Multi-view video coding based on multi-dimensional vector matrix

SANG Ai-jun, MU Sen, WANG Mo-lin, CUI Hai-ting, CHEN He-xin   

  1. College of Communication Engineering, Jilin University, Changchun 130022,China
  • Received:2012-06-04 Online:2013-07-01 Published:2013-07-01

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Abstract:

The existing video compression standard possesses certain limitations on the support and expansion of the Multi-View video Coding (MVC). To solve this problem, combined with the multi-dimensional vector matrix theory, a whole set of compression encoding schemes on single-view colorful video stream proposed in previous studies was expanded and applied in eight-view video coding. This multi-view video coding includes multi-dimensional sub-blocking, multi-dimensional reorganization, multi-dimensional vector DCT orthogonal transform, multi-dimensional quantization, differential encoding, multi-dimensional scanning and run length encoding. Analysis of the experiment data verifies the feasibility of the whole scheme on multi-view coding. This research lays a foundation for further study of both multi-dimensional vector matrix and multi-view coding.

Key words: information processing, multi-view video coding (MVC), multi-dimensional vector matrix, DCT transform

CLC Number: 

  • TN919.81

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