Preliminary research on fractal video compression on spiral architecture

Wang, H; Wu, Q; He, X; Hintz, T

Preliminary research on fractal video compression on spiral architecture

Wang, H Wu, Q

He, X

Hintz, T

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06, 2006, 2 pp. 557 - 562
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Wang, H	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.author	Hintz, T	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06, 2006, 2 pp. 557 - 562	en_US
dc.identifier.isbn	9781932415957	en_US
dc.identifier.uri	http://hdl.handle.net/10453/6800
dc.description.abstract	Fractal Video Compression (FVC) is of extensive interest for over 20 years. Instead of being implemented on square image structure, Spiral Architecture (SA) based fractal image compression is proposed in this paper to illustrate the great potential of FVC on SA. Conceptually, a new definition of range block and domain block is presented on this enhanced image structure. Compared with the conventional square image architecture, spiral architecture provides higher fidelity to fractal image compression, which is demonstrated by the experimental results.	en_US
dc.relation.ispartof	Proceedings of the 2006 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV'06	en_US
dc.title	Preliminary research on fractal video compression on spiral architecture	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
utslib.for	1702 Cognitive Sciences	en_US
dc.location.activity	Las Vegas, USA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Fractal Video Compression (FVC) is of extensive interest for over 20 years. Instead of being implemented on square image structure, Spiral Architecture (SA) based fractal image compression is proposed in this paper to illustrate the great potential of FVC on SA. Conceptually, a new definition of range block and domain block is presented on this enhanced image structure. Compared with the conventional square image architecture, spiral architecture provides higher fidelity to fractal image compression, which is demonstrated by the experimental results.

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http://hdl.handle.net/10453/6800