Paper
27 February 1996 Reducing rate/complexity in video coding by motion estimation with block adaptive accuracy
Jordi Ribas-Corbera, David L. Neuhoff
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233276
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
Classical block-based motion-compensated video coders need to find and code a motion field with one motion vector per image block. All motion vectors are computed and encoded with the same fixed accuracy, typically 1 or one-half pixel accuracy. Higher motion vector accuracies have been shown to significantly reduce the total bit rate in some video sequences, but motion estimation at such subpixel accuracies is computationally expensive and is usually not performed in practice. In this paper we show that computing and encoding different motion vectors with different accuracies in the same frame can significantly reduce the total bit rate, and that the complexity of the block adaptive motion estimation procedure can be as low as that of the classical motion estimation at 1 pixel accuracy. Our new block adaptive motion estimator uses a simple technique to decide how accurately to compute the motion vector for each block. This technique results from an analysis on the effect of the motion vector accuracy on the total bit rate, and indicates that motion vectors of higher texture blocks must be computed more accurately and that at higher levels of compression lower motion vector accuracies are needed. We implement two video coders based on our technique, present results on real video frames, and describe the rate/complexity benefits of our procedure.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jordi Ribas-Corbera and David L. Neuhoff "Reducing rate/complexity in video coding by motion estimation with block adaptive accuracy", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233276
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Motion estimation

Video

Video coding

Computer programming

Video compression

Distortion

Quantization

Back to Top