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Fast CU size decision based on temporal homogeneity detection

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2016Publisher:IEEEJournal:2016 Conference on Design of Circuits and Integrated Systems (DCIS)
Authors: D. G. Fernandez; A. A. Del Barrio; G. Botella; C. Garcia;

doi: 10.1109/dcis.2016.7845379

Fast CU size decision based on temporal homogeneity detection

Abstract

High-Efficiency Video Coding (HEVC) is the latest video coding standard of the Joint Collaborative Team on Video Coding (JCT-VC). HEVC noticeably improves compression performance when comparing with previous standards such as H264, providing a major leap forward in video compression technology. However this improvement is achieved increasing the complexity of the encoding process. In this paper an optimized CU size decision algorithm is proposed in order to reduce HEVC computational cost by means of temporal homogeneity classification, which is directly applied to the input image using a GPU.

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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!
2
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