PALS: peer-to-peer adaptive layered streaming
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Optimal Multiple Description Transform Coding of Gaussian Vectors
DCC '98 Proceedings of the Conference on Data Compression
Adaptive Packet Video Streaming Over P2P Networks Using Active Measurements
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Scalable multiple-description image coding based on embedded quantization
Journal on Image and Video Processing
End-to-end rate-distortion optimized MD mode selection for multiple description video coding
EURASIP Journal on Applied Signal Processing
Distributed temporal multiple description coding for robust video transmission
EURASIP Journal on Wireless Communications and Networking - Multimedia over Wireless Networks
Journal of Visual Communication and Image Representation
Multiple description coding with prediction compensation
IEEE Transactions on Image Processing
Approximating the Gaussian multiple description rate region under symmetric distortion constraints
IEEE Transactions on Information Theory
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Applying multiple description coding to enhance the streaming scalability on CDN-P2P network
International Journal of Communication Systems
Adaptive Mechanism for P2P Video Streaming Using SVC and MDC
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Chameleon: adaptive peer-to-peer streaming with network coding
INFOCOM'10 Proceedings of the 29th conference on Information communications
Asymptotic analysis of multiple description quantizers
IEEE Transactions on Information Theory
Generalized multiple description coding with correlating transforms
IEEE Transactions on Information Theory
Design of multiple description scalar quantizers
IEEE Transactions on Information Theory
Design of entropy-constrained multiple-description scalar quantizers
IEEE Transactions on Information Theory
Scalable multiple description coding with side information using motion interpolation
IEEE Transactions on Consumer Electronics
Multiple description wavelet based image coding
IEEE Transactions on Image Processing
Multiple description coding using pairwise correlating transforms
IEEE Transactions on Image Processing
An H.264/AVC Video Coder Based on a Multiple Description Scalar Quantizer
IEEE Transactions on Circuits and Systems for Video Technology
Robust Video Coding Based on Multiple Description Scalar Quantization With Side Information
IEEE Transactions on Circuits and Systems for Video Technology
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In peer-to-peer video streaming, the robustness to peer and packet losses is regarded very important in order to enjoy a good quality of experience. Multiple description coding (MDC) schemes are known to provide high robustness to packet losses. In peer-to-peer streaming in addition to high robustness, efficient controllability of data rate and redundancy among the data streams from peers is also vital. In this paper, a novel framework for scalable multiple description coding scheme for peer-to-peer video streaming is presented by addressing these requirements. The proposed MDC solution is based on the multiple description scalar quantization (MDSQ) by addressing the joint decoding of unbalanced descriptions and addition of jointly decodable successive refinement layers to side descriptions. Firstly, the design conditions for MDSQ with constrained successive refinement to obtain scalable multiple description streams where the bit streams can be truncated at any point to obtain lower quality spatial temporal descriptions are firstly proposed. Then the design conditions for joint decoding of two or more side descriptions from different multiple description scalar quantizers, originating from various bin spread factors leading to controllable redundancy are proposed. These design conditions enable joint redundancy and data rate control for streams coming from different peers, thereby, enabling high robustness to packet losses as well as peer losses with the adaptability of redundancy levels and truncation of scalable streams. The proposed design constraints are used within the motion compensated temporal filtering (MCTF) framework to demonstrate its advancement in robust peer-to-peer video streaming. The results show significant improvements over conventional MDC based on simple MSDQ and over single description scalable video.