Title
Motion vector coding using optimal predictor
Abstract
In this paper, we propose a new motion vector coding scheme using optimal predictor. To improve coding performance of motion vector data, the proposed encoder selects an optimal predictive motion vector that produces minimum bits for the given motion vector. The proposed decoder estimates the optimal predictive motion vector without additional information from encoder for indicating which predictor is used. Experimental results show that the proposed scheme is very effective in reducing coded motion vector data since it achieves BDBR (Bjÿntegaard Delta Bit Rate) gain of about 4.46% on average compared to the KTA 2.0 software.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5413726
ICIP
Keywords
Field
DocType
h.264/avc,motion vector,decoder-estimation,optimal predictive motion vector,bjã¿ntegaard delta bit rate,coding performance,coded motion vector data,new motion vector,proposed decoder,proposed scheme,video coding,kta 2.0 software,motion vector coding,additional information,optimal predictor,proposed encoder,vectors,image motion analysis,motion vector data,decoding,encoding
Computer vision,Quarter-pixel motion,Pattern recognition,Computer science,Coding (social sciences),Software,Encoder,Artificial intelligence,Harmonic Vector Excitation Coding,Decoding methods,Motion vector,Encoding (memory)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Jungyoup Yang1695.41
Kwanghyun Won2584.77
Yung-Lyul Lee325929.12
Byeungwoo Jeon41045114.72