吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 96-100.

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Coefficients concentration analysis and research in high-dimensional transformation domain

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

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2012-05-23 Published:2013-06-01

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Abstract:

For the enormous data information contained in multi-view video,taking into account the difficulties of storage and transmission,the transform domain features of Fourier transform (FT) and multi-dimensional vector matrix discrete cosine transform (MVM-DCT) of multi-view video are deduced for the first time.Combined with the advantages that multi-dimensional vector matrix could put multi-view video into a multi-dimensional mathematical model,as well as orthogonality of DCT,MVM-DCT deduced could remove correlation among space,inter-frame and inter-view.The deduced formula shows that coefficient energy in high-dimensional transformation domain is mainly concentrated in a folding cuboid which attenuates along both the time dimension and view dimension.Then the experimental simulation verified their correctness.The significance of formula derivation is that they reveal the relationship between motion vector,angle variable and coefficients concentration in high-dimensional transformation domain.Finally,introduce minimize additional criteria about motion analysis briefly.All these will provide a theoretical guidance for the further compression of multi-view video coding system.

Key words: information processing, multi-dimensional vector matrix, orthogonal transformation, multi-view video coding

CLC Number: 

  • TN919.81

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