JOURNAL ARTICLE

<title>Scalable video compression using longer motion compensated temporal filters</title>

Abhijeet GolwelkarJohn W. Woods

Year: 2003 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5150 Pages: 1406-1416   Publisher: SPIE

Abstract

Three-dimensional (3-D) subband/wavelet coding using a motion compensated temporal filter (MCTF) is emerging as a very effective structure for highly scalable video coding. Most previous work has used two-tap Haar filters for the temporal analysis/synthesis. To make better use of the temporal redundancies, we are proposing an MCTF scheme based on longer biorthogonal filters. We show a lifting based coder capable of subpixel accurate motion compensation. If we retain the fixed size GOP structure of the Haar filter MCTFs, we need to use symmetric extensions at both ends of the GOP. This gives rise to loss of coding efficiency at the GOP boundaries resulting in significant PSNR drops there. This performance can be considerably improved by using a 'sliding window,' in place of the GOP block. We employ the 5/3 filter and its non-orthogonality causes PSNR variation, which can be reduced by employing filter-based weighting coefficients. Overall the longer filters have a higher coding gain than the Haar filters and show significant improvement in average PSNR at high bit rates. However, a doubling in the number of motion vectors to be transmitted, translates to a drop in PSNR at the lower video bit rates.

Keywords:
Computer science Motion compensation Scalable Video Coding Algorithmic efficiency Group of pictures Computer vision Artificial intelligence Coding (social sciences) Algorithm Mathematics Decoding methods Statistics

Metrics

27
Cited By
2.62
FWCI (Field Weighted Citation Impact)
8
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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