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
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;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5651439