NDLI: Fast mode decision method based on edge feature for HEVC inter-prediction

Content Provider	IET Digital Library
Author	Tsai, Tsung Han Su, Sheng Shuan Lee, Ting Yu
Abstract	High-efficiency video coding (HEVC) is an international video coding standard. It can reduce bit rate by almost 50% when preceding state-of-the-art standard H.264/advanced video coding (AVC) with the same objective quality but increase about 40% encoding complexity. The computation complexity of HEVC largely relies on the inter-prediction, which consumes about 60–70% of the total encoding time. This study proposes a fast mode decision method for HEVC inter-prediction. Since current coding unit (CU) is the basic coding zone for HEVC encoding process, the authors apply the edge detection method with Sobel operator to extract the edge information inside CU. It is based on the threshold-oriented means to compare those edge values and then predict the best partition mode for this CU. Furthermore, they define a weighting factor to adopt various resolutions of test sequence from wide quarter video graphics array (WQVGA) to 1600 p. The experimental results show that the proposed algorithm can reduce computational complexity by 50% on average compared with HEVC reference software, and appear to have almost the same coding performance.
Starting Page	644
Ending Page	651
Page Count	8
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 5, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.1117
Journal	IET Image Processing
Publisher Date	2018-01-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Coding Unit Coding Zone Computation Complexity Reduction Computational Complexity Computer Vision And Image Processing Technique Edge Detection Edge Detection Method Edge Feature Edge Information Extraction Encoding Complexity Fast Mode Decision Method Feature Extraction H.264 HEVC Encoding Process HEVC Interprediction High-efficiency Video Coding Interprediction Image And Video Coding Image Recognition International Video Coding Standard Sobel Operator Test Sequence Threshold-oriented Means Total Encoding Time Video Coding Video Signal Processing Weighting Factor
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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