DocumentCode
696658
Title
Compression of image overhead by Hierarchical Enumerative Coding
Author
Oktem, Levent ; Astola, Jaakko
Author_Institution
Signal Processing Laboratory, Tampere University of Technology, P.O.B. 553, FIN-33101 Tampere, Finland
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
Hierarchical Enumerative Coding (HENUC) is proposed for the entropy coding of overhead information in image and video compression. Experimental results of two case studies, compression of quadtree representation and compression of switching information, suggest that HENUC has competitive performance. Its advantages over Huffman coding are that it does not require a priori statistics, and it has better compression performance. Its advantages over arithmetic coding are that it adapts faster, thus yielding better compression performance, and it has less computational complexity.
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075279
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