DocumentCode
3333256
Title
Multi-view DVC system based on iterative inter-view prediction
Author
Ma, Zhonghua ; Leung, Ka-Ming ; Becker-Lakus, Axel
Author_Institution
Image & Video Res. Div., Canon Inf. Syst. Res. Australia (CiSRA), North Ryde, NSW, Australia
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
2621
Lastpage
2624
Abstract
A novel multi-view camera system based on Distributed Video Coding (DVC) scheme is described in this paper. Unlike other systems that use camera arrays, the proposed system consists of multiple uncalibrated and vastly different still-image cameras. The relative positions and viewing angles of these uncalibrated cameras are not known a-priori. Images captured by these cameras are first registered using sparse, low level image features. Inter-view correlation is then exploited iteratively using a DVC scheme. Our results demonstrated that it is feasible to generate high-quality multi-view images from different and uncalibrated cameras based on DVC methods.
Keywords
iterative methods; video coding; distributed video coding; interview correlation; iterative interview prediction; multiview DVC system; Cameras; Decoding; Feature extraction; Geometry; Pixel; Reliability; Video coding; Distributed Video Coding; Inter-view Prediction; Multiview Imaging System; Wyner-Ziv;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5651439
Filename
5651439
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