Sequential Entropy Coding of Quantization Indices with Update Recursion on Probability
(English)Manuscript (preprint) (Other academic)
In lossy coding, quantization indices generally contain dependencies. Encoding of quantization indices requires an entropy coding method that exploits these dependencies efficiently. In this article, we propose an entropy coding method that encodes quantization indices sequentially using a recursive update on the probability distribution of each index conditioned on all past indices and available side information. The method is based on a generic model of a lossy coding system and hence can be applied to a large range of lossy coding scenarios. An application of the proposed method to lossy coding of signals that can be described within a linear stochastic system is studied. The method is evaluated in two rate-distortion optimized lossy coding systems, and its efficiency is confirmed by the results.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-38549OAI: oai:DiVA.org:kth-38549DiVA: diva2:437327
QC 201108292011-08-292011-08-292011-08-29Bibliographically approved