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IEEE Transactions on Circuits and Systems for Video Technology
Article . 1999 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2023
Data sources: DBLP
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Video compression using matching pursuits

Authors: Osama K. Al-Shaykh; Eugene Miloslavsky; Toshio Nomura; Ralph Neff; Avideh Zakhor;

Video compression using matching pursuits

Abstract

The use of matching pursuit (MP) to code video using overcomplete Gabor basis functions has recently been introduced. In this paper, we propose new functionalities such as SNR scalability and arbitrary shape coding for video coding based on matching pursuit. We improve the performance of the baseline algorithm presented earlier by proposing a new search and a new position coding technique. The resulting algorithm is compared to the earlier one and to DCT-based coding.

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    60
    popularity
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    Average
    influence
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selected citations
These citations are derived from selected sources.
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!
60
Average
Top 1%
Top 10%
bronze