NDLI: Extending HEVC by an affine motion model

Content Provider	IEEE Xplore Digital Library
Author	Narroschke, M. Swoboda, R.
Copyright Year	2013
Description	Author affiliation: Panasonic R&D Center Germany, Langen, Germany (Narroschke, M.; Swoboda, R.)
Abstract	Digital video coding standards apply hybrid coding. Each frame is partitioned into blocks of various sizes. For each block, motion compensated prediction with a translational motion model and prediction error coding is applied. The maximum block size of standards preceding HEVC is 16 × 16 samples, for HEVC it is increased to 64 × 64 samples. For non-translational motion the translational model leads to high data rate due to inaccurate prediction. Although an affine motion model can describe non-translational motion, the data rate of its additional parameters is often larger than the data rate reduction achieved by more accurate prediction, especially if small blocks are used. This paper investigates if HEVC's increased block size benefits the affine motion model. HEVC is extended such that for each block, either the translational or the affine motion model is used, selected by minimization of Lagrangian costs of data rate and summed absolute values of prediction error coefficients. For a set of ten test sequences of non-translational motion, the data rate is reduced by 6.3% in average and by 23.7% in maximum compared to HEVC at the same PSNR. Limiting the maximum block size to 16 × 16 samples, the average data rate reduction decreases to 0.1%, which proves synergy between the block size increase and the affine motion model.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	321
Ending Page	324
File Size	453648
Page Count	4
File Format	PDF
e-ISBN	9781479902941
DOI	10.1109/PCS.2013.6737748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding PSNR Predictive models Encoding Data models Mathematical model Standards
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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