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Proceedings Paper

On the efficiency of image completion methods for intra prediction in video coding with large block structures
Author(s): Dimitar Doshkov; Oscar Jottrand; Thomas Wiegand; Patrick Ndjiki-Nya
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Paper Abstract

Intra prediction is a fundamental tool in video coding with hybrid block-based architecture. Recent investigations have shown that one of the most beneficial elements for a higher compression performance in high-resolution videos is the incorporation of larger block structures. Thus in this work, we investigate the performance of novel intra prediction modes based on different image completion techniques in a new video coding scheme with large block structures. Image completion methods exploit the fact that high frequency image regions yield high coding costs when using classical H.264/AVC prediction modes. This problem is tackled by investigating the incorporation of several intra predictors using the concept of Laplace partial differential equation (PDE), Least Square (LS) based linear prediction and the Auto Regressive model. A major aspect of this article is the evaluation of the coding performance in a qualitative (i.e. coding efficiency) manner. Experimental results show significant improvements in compression (up to 7.41 %) by integrating the LS-based linear intra prediction.

Paper Details

Date Published: 21 February 2013
PDF: 8 pages
Proc. SPIE 8666, Visual Information Processing and Communication IV, 86660B (21 February 2013); doi: 10.1117/12.2007942
Show Author Affiliations
Dimitar Doshkov, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (Germany)
Oscar Jottrand, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (Germany)
Thomas Wiegand, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (Germany)
Berlin Institute of Technology (Germany)
Patrick Ndjiki-Nya, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (Germany)


Published in SPIE Proceedings Vol. 8666:
Visual Information Processing and Communication IV
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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