Comutations underlying the measuremnt of visual motion.
Artificial Intelligence
Digital video processing
Image and video coding standards
Handbook of visual communications
Selected Papers on Visual Communication: Technology and Applications
Selected Papers on Visual Communication: Technology and Applications
Digital Pictures: Representation and Compression
Digital Pictures: Representation and Compression
Teleconferencing
A VLSI architecture for hierarchical motion estimation
IEEE Transactions on Consumer Electronics
IEEE Transactions on Image Processing
MIJ2K Optimization using evolutionary multiobjective optimization algorithms
Expert Systems with Applications: An International Journal
A reconfigurable architecture for multi-frame motion estimation
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
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Motion-compensated estimation is an effective means in reducing theinterframe correlation for image sequence coding. Therefore, it isadopted by the international video coding standards, ITU H.261,H.263, ISO MPEG-1 and MPEG-2. This paper provides a comprehensivesurvey of the motion estimation techniques that are pertinent tovideo coding standards.There are three popular groups of motion estimation methods: i) blockmatching methods, ii) differential (gradient) methods, and iii)Fourier methods. However, not all of them are suitable for theblock-based motion compensation structure specified by theaforementioned standards. Our focus in this paper is to review thosetechniques that would fit into the standards. In addition to thebasic operations of these techniques, issues discussed are theirextensions, their performance limit, their relationships with eachother, and the other advantages or disadvantages of these methods. Atthe end, an example of evaluating block matching algorithms from asystem-level VLSI design viewpoint is provided.