Journal ArticleDOI
Efficient bit allocation for an arbitrary set of quantizers (speech coding)
Y. Shoham,Allen Gersho +1 more
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In this article, a bit allocation algorithm that is capable of efficiently allocating a given quota of bits to an arbitrary set of different quantizers is proposed, which produces an optimal or very nearly optimal allocation, while allowing the set of admissible bit allocation values to be constrained to nonnegative integers.Abstract:
A bit allocation algorithm that is capable of efficiently allocating a given quota of bits to an arbitrary set of different quantizers is proposed. This algorithm is useful in any coding scheme which uses bit allocation or, more generally, codebook allocation. It produces an optimal or very nearly optimal allocation, while allowing the set of admissible bit allocation values to be constrained to nonnegative integers. It is particularly useful in cases where the quantizer performance versus rate is irregular and changing in time, a situation that cannot be handled by conventional allocation algorithms. >read more
Citations
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Journal ArticleDOI
Rate-constrained coder control and comparison of video coding standards
TL;DR: A unified approach to the coder control of video coding standards such as MPEG-2, H.263, MPEG-4, and the draft video coding standard H.264/AVC (advanced video coding) is presented.
Journal ArticleDOI
Rate-distortion optimization for video compression
Gary J. Sullivan,Thomas Wiegand +1 more
TL;DR: Based on the well-known hybrid video coding structure, Lagrangian optimization techniques are presented that try to answer the question: what part of the video signal should be coded using what method and parameter settings?
Journal ArticleDOI
Quantization
Robert M. Gray,David L. Neuhoff +1 more
TL;DR: The key to a successful quantization is the selection of an error criterion – such as entropy and signal-to-noise ratio – and the development of optimal quantizers for this criterion.
Journal ArticleDOI
Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)
TL;DR: The results of subjective tests for WVGA and HD sequences indicate that HEVC encoders can achieve equivalent subjective reproduction quality as encoder that conform to H.264/MPEG-4 AVC when using approximately 50% less bit rate on average.
Journal ArticleDOI
Rate-distortion methods for image and video compression
TL;DR: An overview of rate-distortion (R-D) based optimization techniques and their practical application to image and video coding is provided and two popular techniques for resource allocation are introduced, namely, Lagrangian optimization and dynamic programming.
References
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Journal ArticleDOI
Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources
TL;DR: The use of Lagrange multipliers for optimization in the presence of constraints is not limited to differentiable functions but can be applied to problems of maximizing an arbitrary real valued objective function over any set whatever, subject to bounds on the values of any other finite collection of real valued functions denned on the same set as mentioned in this paper.
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Block Quantization of Correlated Gaussian Random Variables
J. Huang,P. Schultheiss +1 more
TL;DR: Substantial improvements over single sample quantizing are attained with blocks of relatively short length, and the final selection of the optimal set of quantizers becomes a matter of a few simple trials.
Journal ArticleDOI
Discrete Optimization Via Marginal Analysis
TL;DR: Discrete optimization subject to one constraint is attacked by Lagrangian analysis and the complete family of undominated allocations is generated.
Journal ArticleDOI
Bit allocation and encoding for vector sources
TL;DR: This paper considers the problem of efficient transmission of vector sources over a digital noiseless channel and gives the optimally decorrelating scheme for a source whose components are dependent and treats the problems of selecting the optimum characteristic of the encoding scheme such that the overall mean-squared error is minimized.