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A simple and efficient way to prune motion vector trees in MC-EZBC

Authors: Jianfen Zeng; Liang Fan;

A simple and efficient way to prune motion vector trees in MC-EZBC

Abstract

MC-EZBC is one kind of subband wavelet coders exploiting temporal correlation and fully embedded in quality/bit-rate, spatial, and frame rate. By combining MCTF and EZBC and other non-trivial techniques as well, the latest MC-EZBC achieves the best rate-distortion performance in literature. However, the way to find the /spl lambda//sub mv.opt/, used for optimally pruning the motion vector trees still allows room for improvement, since it is not adaptive to the motion vector trees and it costs high off-line computation as well. We propose a novel method to find an adaptive /spl lambda//sub mv.opt/ for each motion vector tree. Simulation results show that the new way is fast and efficient, and that it brings a gain about 0.05-0.2 dB for widely used testing video clips.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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