NDLI: Fast HEVC intra-prediction mode decision based on conditional selection with hybrid cost ranking

Content Provider	IEEE Xplore Digital Library
Author	Hao Liu Yuexin Jie
Copyright Year	2015
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China (Hao Liu; Yuexin Jie)
Abstract	To improve rate-distortion (R-D) performance, high efficiency video coding (HEVC) increases the intra-prediction modes with heavy computational load, and thus the intra coding optimization is highly demanded for real-time applications. According to the conditional probability of most probable mode and the correlation of potential candidate subsets, this paper proposes a fast HEVC intra-prediction mode decision scheme based on conditional selection with hybrid cost ranking. The proposed scheme utilizes the coding results of both rough mode decision and neighboring prediction units to obtain a potential candidate subset, and then conditionally selects the optimal mode through early likelihood decision and hybrid cost ranking. The experimental results demonstrate that the proposed scheme averagely provides about 22.1% encoding speedup with just 0.86% BD-rate loss in comparison with default fast intra prediction in HM16.0. Compared to other fast intra-prediction mode decision schemes, the proposed scheme also significantly reduces intra-coding time while maintaining similar R-D performance in all-intra main profile.
Starting Page	1
Ending Page	6
File Size	1898960
Page Count	6
File Format	PDF
e-ISBN	9781467396042
DOI	10.1109/SiPS.2015.7344988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Correlation Complexity theory Optimization Rate-distortion Quantization (signal) Prediction algorithms R-D cost Intra prediction rough mode decision most probable mode Hadamard cost
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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