DCC: Difference between revisions

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{{Event series
{{Event series
|acronym=DCC
|Acronym=DCC
|Title=Data Compression Conference
|Title=Data Compression Conference
|has CORE2017 Rank=A*
|has CORE2017 Rank=A*
|Field=Computer science
|acronym=DCC
}}
}}
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.

Revision as of 06:12, 2 March 2020

DCC
Data Compression Conference
Categories: Computer science
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

The following events of the series DCC are currently known in this wiki:

 OrdinalFromToCityCountryGeneral chairPC chairAcceptance rateAttendees
DCC 2021Mar 23Mar 26SnowbirdOnlineJames A. Storer
Michael W. Marcellin
Ali Bilgin
Joan Serra-Sagrista
DCC 2020Mar 24Mar 27SnowbirdUSA
DCC 2019Mar 26Mar 29SnowbirdUSA
DCC 2018Mar 27Mar 30SnowbirdUSA
DCC 200818Mar 25Mar 27SnowbirdUSAJames A. StorerMichael W. Marcellin

Number of Submitted and Accepted Papers (Main Track)

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Acceptance Rate

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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.