DPCM-based edge prediction for lossless screen content coding in HEVC
Sánchez, Victor (University of Warwick. Department of Computer Science)
Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Date:	2016
Abstract:	Screen content sequences are ubiquitous type of video data in numerous multimedia applications like video conferencing, remote education, and cloud gaming. These sequences are characterized for depicting a mix of computer generated graphics, text, and camera-captured material. Such a mix poses several challenges, as the content usually depicts multiple strong discontinuities, which are hard to encode using current techniques. Differential pulse code modulation (DPCM)-based intra-prediction has shown to improve coding efficiency for these sequences. In this paper we propose sample-based edge and angular prediction (SEAP), a collection of DPCM-based intra-prediction modes to improve lossless coding of screen content. SEAP is aimed at accurately predicting regions depicting not only camera-captured material, but also those depicting strong edges. It incorporates modes that allow selecting the best predictor for each pixel individually based on the characteristics of the causal neighborhood of the target pixel. We incorporate SEAP into HEVC intra-prediction. Evaluation results on various screen content sequences show the advantages of SEAP over other DPCM-based approaches, with bit-rate reductions of up to 19. 56% compared to standardized RDPCM. When used in conjunction with the coding tools of the screen content coding extensions, SEAP provides bit-rate reductions of up to 8. 63% compared to RDPCM.
Grants:	Ministerio de Economía y Competitividad TIN/2015-71126-R Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691
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Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	High efficiency video coding ; Image coding ; Color ; Transforms ; Modulation ; Video coding ; Distortion
Published in:	IEEE Journal on emerging and selected topics in circuits and systems, Vol. 6, issue 4 (Dec. 2016) , p. 497-507, ISSN 2156-3357

DOI: 10.1109/JETCAS.2016.2606513

Post-print 11 p, 3.7 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > Group on Interactive Coding of Images (GICI)
Articles > Research articles
Articles > Published articles