Title :
Distributed Compression of Multi-View Images using a Geometrical Coding Approach
Author :
Gehrig, Nicolas ; Dragotti, Pier L.
Author_Institution :
Imperial Coll. London, London
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper, we propose a distributed compression approach for multi-view images, where each camera efficiently encodes its visual information locally without requiring any collaboration with the other cameras. Such a compression scheme can be necessary for camera sensor networks, where each camera has limited power and communication resources and can only transmit data to a central base station. The correlation in the multi-view data acquired by a dense multi-camera system can be extremely large and should therefore be exploited at each encoder in order to reduce the amount of data transmitted to the receiver. Our distributed source coding approach is based on a quadtree decomposition method and uses some geometrical information about the scene and the position of the cameras to estimate this multi-view correlation. We assume that the different views can be modelled as 2D piecewise polynomial functions with ID linear boundaries and show how our approach applies in this context. Our simulation results show that our approach outperforms independent encoding of real multi-view images.
Keywords :
cameras; computational geometry; data compression; image coding; polynomials; quadtrees; 2D piecewise polynomial function; camera sensor network; central base station; distributed multi-view image compression; distributed source coding; geometrical coding approach; quadtree decomposition method; Binary trees; Channel coding; Collaboration; Digital cameras; Image coding; Layout; Polynomials; Rendering (computer graphics); Source coding; Wireless sensor networks; Camera Sensor Networks; Distributed Source Coding; Multi-view Image Compression;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379611