DocumentCode :
2852327
Title :
Distributed compression for large camera arrays
Author :
Xiaoqing Zhu ; Aaron, Anne ; Girod, Bernd
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fYear :
2003
fDate :
28 Sept.-1 Oct. 2003
Firstpage :
30
Lastpage :
33
Abstract :
We address the problem of compression for large camera arrays, and propose a distributed solution based on Wyner-Ziv coding. The proposed scheme allows independent encoding of each view with low-complexity cameras, and performs centralized decoding with side information from additional views. Experimental results are given for two light field data sets. The performance of the proposed scheme is compared with independently coding each view using JPEG2000 and a shape-adaptive JPEG-like coder. The Wyner-Ziv coder yields superior compression performance at low bit-rates. In addition, there is a great reduction in encoder complexity when compared to JPEG2000.
Keywords :
array signal processing; cameras; data compression; image coding; JPEG2000; Wyner-Ziv coding; distributed data compression; large camera arrays; Cameras; Codecs; Decoding; Geometry; Image coding; Information systems; Laboratories; Layout; Shape; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
Type :
conf
DOI :
10.1109/SSP.2003.1289332
Filename :
1289332
Link To Document :
بازگشت