Difference between revisions of "DCC"
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{{Event series | {{Event series | ||
− | | | + | |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 08:12, 2 March 2020
DCC 



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
There are 5 events of the series DCC known to this wiki: DCC 2008, DCC 2018, DCC 2019, DCC 2020, DCC 2021
Submission/Acceptance
Locations
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.