1.

Record Nr.

UNINA9910145620903321

Titolo

2006 Data Compression Conference (DCC 2006): 28-30 March 2006/Snowbird, Utah

Pubbl/distr/stampa

[Place of publication not identified], : IEEE Computer Society Press, 2006

ISBN

9781509091294

1509091297

Descrizione fisica

1 online resource

Disciplina

005.746

Soggetti

Data compression (Computer science)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Data Compression Conference - cover -- Proceedings. DCC 2006. Data Compression Conference -- Data Compression Conference - Copyright -- Data Compression Confrence - toc -- Non-asymptotic design of finite state universal predictors for individual sequences -- Toward a source coding theory for sets -- Adaptive run-length/Golomb-Rice encoding of quantized generalized Gaussian sources with unknown statistics -- Encoding the /spl lscr/sub p/ ball from limited measurements -- New lower and upper bounds on the expected length of optimal one-to-one codes -- Time-sharing vs. source-splitting in the Slepian-Wolf problem: error exponents analysis -- On efficient quantizer design for robust distributed source coding -- Analysis of multiple antenna systems with finite-rate feedback using high resolution quantization theory.

Sommario/riassunto

DCC 2006 covers current research and studies on data compression for text, images, video, audio, and related areas. The conference focuses on topics such as: lossless and lossy compression algorithms, source and multiple description coding, quantization theory, vector quantization, encoding with wavelets, bi-level image compression, color image and video compression, geometry compression, and speech and audio compression. Its papers also explore parallel compression algorithms and hardware, adaptive compression algorithms, string searching and manipulation, system issues, medical



imagery storage and transmission, compression of Web graphs, compression applications and issues for computational biology, compression applications and issues for the Internet, compression applications and issues for mobile computing, applications of compression to data mining, data compression standards, and much more.