NDLI: Improving the visual quality of AVC/H.264 by combining it with content adaptive depth map compression

Content Provider	IEEE Xplore Digital Library
Author	Keimel, C. Diepold, K. Sarkis, M.
Copyright Year	2010
Description	Author affiliation: Technische Universität München, Institute for Data Processing, Arcisstr. 21, 80333 München, Germany (Keimel, C.; Diepold, K.; Sarkis, M.)
Abstract	The future of video coding for 3DTV lies in the combination of depth maps and corresponding textures. Most current video coding standards, however, are only optimized for visual quality and are not able to efficiently compress depth maps. We present in this work a content adaptive depth map meshing with tritree and entropy encoding for 3D videos. We show that this approach outperforms the intra frame prediction of AVC/H.264 for the coding of depth maps of still images. We also demonstrate by combining AVC/H.264 with our algorithm that we are able to increase the visual quality of the encoded texture on average by 6 dB. This work is currently limited to still images but an extension to intra coding of 3D video is straightforward.
Starting Page	494
Ending Page	497
File Size	229668
Page Count	4
File Format	PDF
ISBN	9781424471348
e-ISBN	9781424471355
DOI	10.1109/PCS.2010.5702545
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-08
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization depth map compression Image coding Transform coding Automatic voltage control Encoding Three dimensional displays 3DTV 3D scene analysis content adaptive meshing Pixel AVC/H.264
Content Type	Text
Resource Type	Article

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