Epipolar-plane image analysis: a technique for analyzing motion sequences
Readings in computer vision: issues, problems, principles, and paradigms
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
DCC '03 Proceedings of the Conference on Data Compression
Ray-Based Creation of Photo-Realistic Virtual World
VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Design of Slepian-Wolf Codes by Channel Code Partitioning
DCC '04 Proceedings of the Conference on Data Compression
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding
DCC '04 Proceedings of the Conference on Data Compression
Slepian-Wolf Coding for Nonuniform Sources Using Turbo Codes
DCC '04 Proceedings of the Conference on Data Compression
Reliability vs. efficiency in distributed source coding for field-gathering sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Distributed Source Coding in Dense Sensor Networks
DCC '05 Proceedings of the Data Compression Conference
Distributed Source Coding in Wireless Sensor Networks using LDPC Codes: A Non-Uniform Framework
DCC '05 Proceedings of the Data Compression Conference
The case for multi--tier camera sensor networks
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Distributed sampling for dense sensor networks: a "Bit-conservation principle"
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix
IEEE Transactions on Signal Processing
Sampling Schemes for Multidimensional Signals With Finite Rate of Innovation
IEEE Transactions on Signal Processing - Part II
Sampling signals with finite rate of innovation
IEEE Transactions on Signal Processing
Exact sampling results for some classes of parametric nonbandlimited 2-D signals
IEEE Transactions on Signal Processing
Wyner-Ziv coding of video: an error-resilient compression framework
IEEE Transactions on Multimedia
Rate-distortion optimized tree-structured compression algorithms for piecewise polynomial images
IEEE Transactions on Image Processing
Survey of image-based representations and compression techniques
IEEE Transactions on Circuits and Systems for Video Technology
Distributed multi-view image coding with learned dictionaries
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
Robust distributed multiview video compression for wireless camera networks
IEEE Transactions on Image Processing
On the information rates of the plenoptic function
IEEE Transactions on Information Theory
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In this paper, we study the sampling and the distributed compression of the data acquired by a camera sensor network. The effective design of these sampling and compression schemes requires, however, the understanding of the structure of the acquired data. To this end, we show that the a priori knowledge of the configuration of the camera sensor network can lead to an effective estimation of such structure and to the design of effective distributed compression algorithms. For idealized scenarios, we derive the fundamental performance bounds of a camera sensor network and clarify the connection between sampling and distributed compression. We then present a distributed compression algorithm that takes advantage of the structure of the data and that outperforms independent compression algorithms on real multiview images.