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Proceedings Paper

An adaptive mode-driven spatiotemporal motion vector prediction for wavelet video coding
Author(s): Fan Zhao; Guizhong Liu; Yong Qi
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Paper Abstract

The three-dimensional subband/wavelet codecs use 5/3 filters rather than Haar filters for the motion compensation temporal filtering (MCTF) to improve the coding gain. In order to curb the increased motion vector rate, an adaptive motion mode driven spatiotemporal motion vector prediction (AMDST-MVP) scheme is proposed. First, by making use of the direction histograms of four motion vector fields resulting from the initial spatial motion vector prediction (SMVP), the motion mode of the current GOP is determined according to whether the fast or complex motion exists in the current GOP. Then the GOP-level MVP scheme is thereby determined by either the S-MVP or the AMDST-MVP, namely, AMDST-MVP is the combination of S-MVP and temporal-MVP (T-MVP). If the latter is adopted, the motion vector difference (MVD) between the neighboring MV fields and the S-MVP resulting MV of the current block is employed to decide whether or not the MV of co-located block in the previous frame is used for prediction the current block. Experimental results show that AMDST-MVP not only can improve the coding efficiency but also reduce the number of computation complexity.

Paper Details

Date Published: 4 August 2010
PDF: 6 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442G (4 August 2010); doi: 10.1117/12.863192
Show Author Affiliations
Fan Zhao, Xi'an Univ. of Technology (China)
Xi'an Jiaotong Univ. (China)
Guizhong Liu, Xi'an Jiaotong Univ. (China)
Yong Qi, Xi'an Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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