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Mixed spatial and SNR scalability for TVM geometry coding

Authors: Renan U. Ferreira; Seung-Ryong Han; Toshihiko Yamasaki; Kiyoharu Aizawa;

Mixed spatial and SNR scalability for TVM geometry coding

Abstract

Time Varying Meshes (TVMs) are sequences of three-dimensional models created from multi-camera images. Like other kinds of mesh sequences, it has a great need for compression, in order to become largely usable. Alongside with other types of signals, mesh coding has received considerable attention towards scalable coding, which is a very important feature in many kinds of coded signals. Scalable mesh coding can be divided basically into three types of scalability: temporal, spatial and SNR (signal-to-noise ratio). In this work we focus on the use of block-based and run-length encoding aiming at achieving a combination of spatial and SNR scalability for the geometrical information of TVM. Our results have shown that it is possible to achieve scalability with only a minor increase in rate over a previous coding method.

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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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