[en] Data compression is the process of reducing the amount of necessary memory for the representation of a given piece of information. This process is of great utility especially in digital storage and transmission of the multimedia information and it typically involves various encoding/decoding schemes. In this work we will be primarily focused on some compression schemes which employ specific forms of clustering known as fuzzy clustering. In the data mining context, fuzzy clustering is a versatile tool which analyzes heterogeneous collections of data providing insights on the underlying structures involving the concept of partial membership. Several models employing the fuzzy clustering techniques in data compression systems are demonstrated and image compression based on fuzzy transforms for compression and decompression of color videos is described in details.
Disciplines :
Computer science
Author, co-author :
MANCELLARI, Enea ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) ; Computer Engineering Department, Epoka University, Tirana, Albania
Bedalli, Erind; Department of Informatics, University of Elbasan, Elbasan, Albania
Rada, Rexhep; Department of Informatics, University of Elbasan, Elbasan, Albania
External co-authors :
yes
Language :
English
Title :
Some assessments on applications of fuzzy clustering techniques in multimedia compression systems
Publication date :
10 January 2020
Event name :
Proceedings of the 11th International Conference on Management of Digital EcoSystems
Event place :
Limassol, Cyp
Event date :
12-11-2019 => 14-11-2019
By request :
Yes
Audience :
International
Main work title :
11th International Conference on Management of Digital EcoSystems, MEDES 2019
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