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23 September 2011Investigation of perception-oriented coding techniques for video compression based on large block structures
Recent investigations have shown that one of the most beneficial elements for higher compression performance in highresolution
video is the incorporation of larger block structures. In this work, we will address the question of how to
incorporate perceptual aspects into new video coding schemes based on large block structures. This is rooted in the fact
that especially high frequency regions such as textures yield high coding costs when using classical prediction modes as
well as encoder control based on the mean squared error. To overcome this problem, we will investigate the
incorporation of novel intra predictors based on image completion methods. Furthermore, the integration of a perceptualbased
encoder control using the well-known structural similarity index will be analyzed. A major aspect of this article is
the evaluation of the coding results in a quantitative (i.e. statistical analysis of changes in mode decisions) as well as
qualitative (i.e. coding efficiency) manner.
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Hagen Kaprykowsky, Dimitar Doshkov, Christoph Hoffmann, Patrick Ndjiki-Nya, Thomas Wiegand, "Investigation of perception-oriented coding techniques for video compression based on large block structures," Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 81350K (23 September 2011); https://doi.org/10.1117/12.896147