DocumentCode :
2822537
Title :
Region based motion vector prediction using data hiding and decoder side reasoning
Author :
Wang, Hongtao ; Liu, Meng ; Li, Qian ; Yang, Haitao ; Li, Houqiang
Author_Institution :
Dept. of EEIS, USTC, Hefei, China
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Motion information occupies a considerable portion of the bit stream generated by the state-of-the-art video codecs. As a sequence, reducing bits on motion information can improve the overall performance of video compression. Various competition based motion vector coding (MVC) schemes were proposed for this goal. In this paper we propose a region based motion vector prediction (RMVP) algorithm to save signaling bits in conventional MVC schemes. Specifically, the motion vector predictor selection information is embedded into the parity of the motion vector differences which would be transmitted into the decoder. To obtain the modulated motion vector differences, the encoder needs to divide the reference frame into several regions and then perform constrained motion estimation in some of the regions. To confirm the advantages of RMVP over different MVC schemes, we implemented it on both KTA Software and TMuC test model. Experimental results show that RMVP outperforms existing MVC schemes.
Keywords :
data compression; data encapsulation; decoding; motion estimation; video codecs; video coding; KTA software; TMuC test model; bit stream; data hiding; decoder side reasoning; modulated motion vector differences; motion estimation; motion information; motion vector coding; motion vector predictor selection information; reference frame; region based motion vector prediction; signaling bits; state-of-the-art video codecs; video compression; Bit rate; Cognition; Decoding; Encoding; Indexes; Motion estimation; Vectors; data hiding; decoder side reasoning; motion vector prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115990
Filename :
6115990
Link To Document :
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