Skip to main navigation Skip to search Skip to main content

Fast CU size decision of intra prediction for enhancement layers in SHVC

  • Chang Yu*
  • , Xin Lu
  • , Song Kai Li
  • , Yue Hu
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A fast CU depth level decision algorithm with low complexity for Scalable High Efficiency Video Coding (SHVC) is proposed to reduce the computational complexity caused by the recursive quad-tree structure of Coding Unit (CU) inherited from HEVC. The proposed scheme enables the early termination for CU sizes for intra prediction in the enhancement layer (EL) by using the property of the energy distribution in the current CTU and the optimal coding depths of the neighboring CTUs. Based on an adaptive thresholds scheme, the texture complexity can be categorized to three types and the CU depth level range is therefore narrowed correspondingly. Besides, the spatial correlation existing in the encoded neighboring CTUs is utilised to further reduce the number of Rate Distortion (RD) evaluation. The coding time is therefore significantly saved. The proposed algorithm is evaluated in the reference software of SHVC (SHM12.0). The experimental results shows that the reduction in encoding time can be up to 42.95% in comparison with the original encoding scheme in SHM.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
EditorsQilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
PublisherSpringer Verlag
Pages1735-1743
Number of pages9
ISBN (Print)9789811065705
DOIs
StatePublished - 2019
Externally publishedYes
Event6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China
Duration: 14 Jul 201716 Jul 2017

Publication series

NameLecture Notes in Electrical Engineering
Volume463
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/TerritoryChina
CityHarbin
Period14/07/1716/07/17

Keywords

  • Adaptive thresholds
  • CU sizes
  • Enhancement layer
  • SHVC
  • Spatial correlation

Fingerprint

Dive into the research topics of 'Fast CU size decision of intra prediction for enhancement layers in SHVC'. Together they form a unique fingerprint.

Cite this