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Visual Content Processing and Representation

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Visual Content Processing and Representation Synopsis

This book is a post-conference publication and contains a selection of papers presented at the VLBV workshop in 2005, which was held in Sardinia, Italy, on September 15-16. VLBV 2005 attracted very high interest among the scienti?c community, and the workshop received 85 submissions. Fifty-?ve papers were accepted and presented in three poster sessions focusing on "New Perspectives in Handling Multimedia Data", "Wavelet Based Compression: Advances and Perspectives", and "Applications of Distributed Video Coding".

Beyondprovidingaforumforthepresentationofhigh-qualityresearchpapers in various complementary aspects of visual content processing and distribution, the workshop gave the opportunity of exchanging ideas and opinions on hot topics in the ?elds by means of three open panels. The ?rst was devoted to the role of standards, with the attempt of both panelists and audience to provide answers to challenging questions on the success of standards, their industrial spino?, and the involvement of academic people in standardization activities.

The second panel aimed to discuss the advances and the perspectives of wavelet based compression. The third one focused on the applications of distributed video coding; the discussion mainly regarded the real performance of such an approach in video coding when compared with traditional approaches. In addition to these components, the program was enriched by two sti- lating invited talks given by world-renowned researchers in the ?eld: "Digital Cinema", by Michael W.

Marcellin and "Distributed Video Coding", by Bernd Girod.

About This Edition

ISBN: 9783540335788
Publication date:
Author: VLBV 2005, Luigi Atzori
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 224 pages
Series: Lecture Notes in Computer Science
Genres: Graphical and digital media applications
Computer vision
Network hardware
Graphics programming
Data warehousing
Information retrieval
Applied computing

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