Efficient coding of motion vector predictor using phased-in code

Authors:
Ji-Hee Moon;Yo-Sung Ho
Affiliations:
Gwangju Institute of Science and Technology, Gwangju, Korea;Gwangju Institute of Science and Technology, Gwangju, Korea
Venue:
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Year:
2010

Citing 5
Cited 0

Variable-length Codes for Data Compression

Variable-length Codes for Data Compression
Competition based prediction for skip mode motion vector using macroblock classification for the H.264 JM KTA software

ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
New CAVLC design for lossless intra coding

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
The H.264/MPEG4 advanced video coding standard and its applications

IEEE Communications Magazine
Overview of the H.264/AVC video coding standard

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The H.264/AVC video coding standard performs inter prediction using variable block sizes to improve coding efficiency. Since we predict the motion in the homogeneous region as well as in the non-homogeneous region accurately using variable block sizes, we can reduce residual data effectively. However, each motion vector should be transmitted to the decoder. In low bit rate environments, the motion vector information takes approximately 40% of the total bitstream. Thus, motion vector competition was proposed to reduce the amount of motion information. Since the size of the motion vector difference is reduced by motion vector competition, it requires only a small number of bits for motion vector information. However, we need to send the corresponding index of the best motion vector predictor to the decoder. In this paper, we propose a new codeword table based on the phased-in code to encode the index of the motion vector predictor efficiently. Experimental results show that the proposed algorithm reduces the average bit rate by 7.24% for similar PSNR values, and it improves the average image quality by 0.36dB at similar bit rates.