Layered Wyner-Ziv Video Coding for Noisy Channels. (August 2004) Qian Xu, B.S., University of Science & Technology of China Chair of Advisory Committee: Dr. Zixiang Xiong The growing popularity of video sensor networks and video celluar phones has generated the need for low-complexity and power-efficient multimedia systems that can handle multiple video input and output streams. While standard ...

Wyner-Ziv video coding has become one of the hottest research topics in the video coding community due to the conceptual, theoretical and functional novelties it brings. Among the many practical architectures already available, feedback channel-based with channel coding, e.g. LDPC and turbo codes, solutions are rather popular. These solutions rely on decoder motion estimation based on periodic ...

A computable complexity measure analogous to computational depth is developed using the Lempel-Ziv compression algorithm. This complexity measure , which we call compression depth, is then applied to the computational output of cellular automata. We nd that compression depth captures the complexity found in Wolfram Class III celluar automata, and is in good agreement with his classiication sche...

The aim of this paper is to introduce the Lempel–Ziv permutation complexity vs permutation entropy plane as a tool to analyze time series of different nature. This two quantities make use of the Bandt and Pompe representation to quantify continuous-state time series. The strength of this plane is to combine two different perspectives to analyze a signal, one being statistic (the permutation ent...

One of the key issues in practical speech processing is to locate precisely endpoints of the input utterance to be free of nonspeech regions. Although lots of studies have been performed to solve this problem, the operation of existing voice activity detection (VAD) algorithms is still far away from ideal. This paper proposes a novel robust feature for VAD method that is based on multi-valued c...

Distributed video coding (DVC) is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. A particular case of DVC deals with lossy source coding with side information at the decoder (Wyner-Ziv) and enables to shift the coding complexity from the encoder to the decoder. The solution here described is based on a very lightweight encoder le...

Analysis of electrophysiological signals recorded from the brain with Lempel-Ziv (LZ) complexity, a measure based on coarse-graining of the signal, can provide valuable insights into understanding brain activity. LZ complexity of local field potential signals recorded from the neocortex of 11 adult male Wistar-Kyoto rats in different vigilance states – waking, non-rapid-eye movement (NREM) and ...