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A Sparse Representation Based Classification Algorithm for Chinese Food Recognition Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Efficient CU Splitting Method for HEVC Intra Coding Based on Visual Saliency

Authors : Xin Zhou, Guangming Shi, Wei Zhou

Published in: Advances in Visual Computing

Publisher: Springer International Publishing

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Abstract

Intra coding with quadtree partition structure is a critical feature in the new High Efficiency Video Coding standard and it also causes a dramatic increase in computational complexity. In this paper, based on the visual saliency detection, an efficient CU splitting method is proposed for HEVC intra coding to reduce the complexity of computation. Experimental results show that the proposed method can reduces the coding complexity of the current HM to about 46.15% with only 0.1791% increases in BD rate and 0.0542 dB PSNR losses.

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Literature
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Metadata
Title
Efficient CU Splitting Method for HEVC Intra Coding Based on Visual Saliency
Authors
Xin Zhou
Guangming Shi
Wei Zhou
Copyright Year
2016
Book
Advances in Visual Computing

Print ISBN: 978-3-319-50831-3

Electronic ISBN: 978-3-319-50832-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50832-0_8

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