JOURNAL ARTICLE

<title>Macro motion vector quantization</title>

Yoon Yung LeeJohn W. Woods

Year: 1995 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2501 Pages: 778-786   Publisher: SPIE

Abstract

A new algorithm is developed for reducing the bit rate required for motion vectors. This algorithm is a generalization of block matching motion estimation in which the search region is represented as a codebook of motion vectors. The new algorithm, called macro motion vector quantization (MMVQ), generalized our earlier MVQ by coding a group of motion vectors. The codebook is a set of macro motion vectors which represent the block locations of the small neighboring blocks in the previous frame. We develop an interative design algorithm for the codebook. Our experiments show that the variances of displaced frame differences (DFDs) are reduced significantly compared to block matching algorithm (BMA) with the macroblock size.

Keywords:
Codebook Vector quantization Linde–Buzo–Gray algorithm Macroblock Motion estimation Quarter-pixel motion Motion vector Computer science Block-matching algorithm Artificial intelligence Algorithm Macro Quantization (signal processing) Inter frame Coding (social sciences) Reference frame Computer vision Mathematics Frame (networking) Decoding methods Image (mathematics)

Metrics

2
Cited By
0.45
FWCI (Field Weighted Citation Impact)
0
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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