NDLI: A statistical approach to create side information in distributed video coding

Content Provider	IEEE Xplore Digital Library
Author	Verbist, F. Deligiannis, N. Jacobs, M. Barbarien, J. Schelkens, P. Munteanu, A.
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Brussels, Belgium (Verbist, F.) \|\| Department of Future Media and Imaging (FMI), Interdisciplinary Institute for Broadband Technology (IBBT), Ghent, Belgium (Deligiannis, N.; Jacobs, M.; Barbarien, J.; Schelkens, P.; Munteanu, A.)
Abstract	The distributed video coding (DVC) paradigm constitutes a flexible framework where computational complexity can be freely distributed between encoder and decoder, hence favoring up-link oriented video applications where recording devices are modest in terms of computational power and are faced with energy consumption constraints. This contribution presents an original transform domain DVC architecture, which performs hash-based motion estimation at the decoder combined with a novel probabilistic motion compensation technique to generate side information. The proposed probabilistic motion compensation incorporates knowledge of the correlation channel statistics and extracts additional information from the hash. Experimental results report Bj⊘ntegaard rate savings of up to 4.61%, when using the novel probabilistic motion compensation method instead of our previous approach. Moreover, the compression performance of the presented DVC architecture, featuring the proposed probabilistic motion compensation, surpasses the performance of the state-of-the-art DISCOVER codec, showing Bj⊘ntegaard rate savings of up to 15.69%.
Starting Page	1
Ending Page	6
File Size	327415
Page Count	6
File Format	PDF
ISBN	9781457717086
e-ISBN	9781457717079
e-ISBN	9781457717062
DOI	10.1109/ICDSC.2011.6042919
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Codecs Correlation Wyner-Ziv video coding Transforms side information Quantization Probabilistic logic distributed video coding Motion compensation Decoding probabilistic motion compensation decoder-side motion estimation
Content Type	Text
Resource Type	Article

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