filename     : Wan11b.pdf
entry        : inproceedings
conference   : 18th {IEEE} International Conference on Image Processing,
pages        : 33493--3496
year         : 2011
month        : September
title        : Extending SVC by Content-adaptive Spatial Scalability
subtitle     : 
author       : Yongzhe Wang and Nikolce Stefanoski and Manuel Lang and Alexander Hornung and Aljoscha Smolic and Markus H. Gross
booktitle    : 
ISSN/ISBN    : 978-1-4577-1304-0
editor       : 
publisher    : IEEE
publ.place   : Brussels
volume       : 
issue        :
language     : EN
keywords     : data compression, image motion analysis, image sequences, image texture, prediction theory, video coding
abstract     : This paper provides details on a complete integration of Content- adaptive Spatial Scalability (CASS) into the scalable video coding extension of H.264/AVC (SVC). CASS enables the efficient encoding of a high-quality bit stream that contains several versions of an original image sequence. Thereby, each such image sequence has been created by content-adaptive and art directed retargeting to different display aspect-ratios and/or resolutions. Non-linear dependencies between spatial layers, which have been introduced through content-adaptive retargeting, are exploited by a generalization of the three inter-layer prediction tools of SVC, i.e. by content-adaptive inter-layer texture, motion and residual prediction. The CASS extended SVC enables the transmission of video content which has been specifically adapted in an art- directed way to multiple display configurations (e.g. to SD and HD displays with 4:3 and 16:9 aspect-ratios, respectively) using a single compressed bit stream. With our extension, video content of higher semantic quality can be transmitted in a scalable way by introducing an average overhead in bit rate of 9.3%.