Fast Index Assignment for Balanced N-Description Scalar Quantization
DCC '05 Proceedings of the Data Compression Conference
Structure unanimity multiple description coding
Image Communication
Multi Level Multiple Descriptions
DCC '09 Proceedings of the 2009 Data Compression Conference
Error-Resilient Multiple Description Coding
IEEE Transactions on Signal Processing - Part II
Entropy-constrained index assignments for multiple description quantizers
IEEE Transactions on Signal Processing
A study of vector quantization for noisy channels
IEEE Transactions on Information Theory
Index assignment for multichannel communication under failure
IEEE Transactions on Information Theory
On the performance and complexity of channel-optimized vector quantizers
IEEE Transactions on Information Theory
Optimal quantizer design for noisy channels: An approach to combined source - channel coding
IEEE Transactions on Information Theory
Successive refinement of information
IEEE Transactions on Information Theory
Universal multiple description scalar quantization: analysis and design
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
Successive refinement of information: characterization of the achievable rates
IEEE Transactions on Information Theory
Noise reduction of VQ encoded images through anti-gray coding
IEEE Transactions on Image Processing
Multiple description wavelet based image coding
IEEE Transactions on Image Processing
Domain-based multiple description coding of images and video
IEEE Transactions on Image Processing
Ensuring quality of service for image transmission: hybrid loss protection
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Unequal loss protection for H.263 compressed video
IEEE Transactions on Circuits and Systems for Video Technology
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Multiple description coding (MDC) was originally developed to combat channel failures and packet losses. For the particular case of fixed-rate scalar quantization, it has been shown that the multiple description scalar quantizer (MDSQ) can be made robust to binary transmission errors, through a proper binary labelling of the indices transmitted in each description. The design of this so-called index assignment (IA) is computationally very demanding, especially for systems with large redundancy or high bit rates. In this paper, we propose an alternative low-complexity IA design for this problem. For low redundancy, this new design provides results that are close to optimum (in the sense of minimizing the side distortions for a given central distortion), while maintaining the robustness to transmission errors and being amenable to designing systems with large redundancy or high bit rates. For high redundancy, the proposed design provides high robustness while allowing for successive decoding of different signal qualities. Thus, it can be applied for the case of progressive quantization and transmission.