NDLI: Improved hierarchical quantisation parameter setting method for screen content coding in high efficiency video coding

Content Provider	IET Digital Library
Author	Tang, Tong Li, Ling Li, Jun
Abstract	Screen content video (SCV) is generated by computers, including texts, animation, and graphics. Unlike conventional camera-captured video, screen contents are often discontinuous, as some regions may remain static for successive frames. Therefore, the traditional hierarchical quantisation parameter (QP) setting scheme for conventional video may be not efficient enough for SCV. In this study, an improved hierarchical QP setting method is proposed for screen content coding. Based on the default hierarchical QP setting in high efficiency video coding (HEVC), the proposed method adjusts QP values at the coding tree unit level according to block matching and content complexity. Smaller QP is assigned to the static region and the translational region to reduce quality refinement, and bigger QP is assigned to the complex and limited quality propagated region to save bits. Experimental results show that compared with the default QP setting method in HEVC, the proposed method reduces up to 15.7% bitrate and 6.3% bitrate on average, and decreases the encoding time by 9.2% averagely.
Starting Page	1382
Ending Page	1390
Page Count	9
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 8, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6221
Journal	IET Image Processing
Publisher Date	2019-04-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera-captured Video Coding Tree Unit Level Computer Vision And Image Processing Technique Content Complexity HEVC High Efficiency Video Coding Image And Video Coding Image Matching Image Recognition Improved Hierarchical QP Setting Method Improved Hierarchical Quantisation Parameter Setting Scheme Matching Complexity Quality Refinement Reduction Screen Content Coding Screen Content Video SCV Video Coding Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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