Difference between revisions of "DCC"

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The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.
 
The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.

Latest revision as of 22:09, 7 April 2022

DCC Download DCCUpload
DCC
Data Compression Conference
Categories: Computer science
WikiDataId: Q90429175
Scholia: https://scholia.toolforge.org/event-series/Q90429175
DblpSeries: dcc
WikiCFP Series: 666
CORE Rank (2017): A*
Avg. acceptance rate: 0
Avg. acceptance rate (last 5 years): 0
Table of Contents

Data Compression Conference (DCC) has an average acceptance rate of 0% (last 5 years 0%).

Events

There are 5 events of the series DCC known to this wiki: DCC 2008, DCC 2018, DCC 2019, DCC 2020, DCC 2021

 OrdinalYearFromToCityCountrypresenceHomepageTibKatIdGNDdblpWikiCFPWikidataGeneral chairPC chair
DCC 20212021Mar 23Mar 26SnowbirdOnlinehttps://www.cs.brandeis.edu/~dcc/Michael W. Marcellin
James A. Storer
Ali Bilgin
Joan Serra-Sagrista
DCC 20202020Mar 24Mar 27SnowbirdUSAhttps://www.cs.brandeis.edu/~dcc/index.html
DCC 20192019Mar 26Mar 29SnowbirdUSA
DCC 20182018Mar 27Mar 30SnowbirdUSAhttps://signalprocessingsociety.org/blog/dcc-2018-2018-data-compression-conference
DCC 2008182008Mar 25Mar 27SnowbirdUSAhttp://www.cs.brandeis.edu/~dcc1893James A. StorerMichael W. Marcellin


Submission/Acceptance

Locations

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The Data Compression Conference (DCC) is an international forum for current work on data compression and related applications.

  • Compression of specific types of data (text, images, video, etc.).
  • Compression in networking, communications, and storage.
  • Applications to bioinformatics.
  • Applications to mobile computing.
  • Applications to information retrieval.
  • Computational issues for compression related applications.
  • Inpainting-based compression, perceptual coding.
  • Compressed data structures.
  • Quantization theory, and vector quantization (VQ).
  • Joint source-channel coding.
  • Compression related standards.

Both theoretical and experimental work are of interest.