Advanced Internet Based Systems and Applications: Second by Chengjun Zhu, Yuanxin Ouyang, Lei Gao, Zhenyong Chen, Zhang

By Chengjun Zhu, Yuanxin Ouyang, Lei Gao, Zhenyong Chen, Zhang Xiong (auth.), Ernesto Damiani, Kokou Yetongnon, Richard Chbeir, Albert Dipanda (eds.)

This ebook constitutes the completely refereed post-conference court cases of the second one overseas convention on on Signal-Image expertise and Internet-Based structures, SITIS 2006, held in Hammamet, Tunisia, in December, 2006.

The 33 complete papers have been conscientiously reviewed and chosen from the easiest papers offered on the convention and are awarded in revised and prolonged shape. a part of the papers concentrate on the rising modeling, illustration and retrieval thoughts that take into consideration the volume, variety and variety of data available in allotted computing atmosphere. different contributions are dedicated to rising and novel recommendations, architectures and methodologies for developing an interconnected international during which info may be exchanged simply, initiatives should be processed collaboratively, and groups of clients with equally pursuits will be shaped whereas addressing protection threats which are current greater than ever before.

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Additional info for Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers

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Sports video categorizing method using camera motion parameters. In: Proc. of the Visual Communications and Image Processing 2003 (2003) 22. : Texture features corresponding to visual perception. IEEE Trans. on Systems Man Cybernet 8(6), 460–473 (1978) 23. : Compact and Robust Fingerprints Using DCT Coefficients of Key Blocks. LNCS. Springer, Heidelberg (2005) 24. : Automatic genre identification for content-based videocategorization. In: Proc. Int. ICPR 2000, Barcelona, Spain (2000) 25. : Automatic identification of sound recordings.

Chakhar of entity e on which the property pi is defined. m ρPKi (vi ) is supposed to be equal to 1 but the user may explicitly provide a value less than 1. More generally, the value of ρPKi (vi ) represents the extent to which entity e verifies property pi of fuzzy class K. m of the fuzzy entity e in the fuzzy class K is: μK (e) = n i=1 ρPKi (vi ) · wi n i=1 wi . (1) In FSM each fuzzy class is uniquely identified with a name. Each class has a list of characteristics or properties, called attributes.

3 × 2) elements, and will look like the matrix Fp = [c1,1 c2,1 ; c1,1 c2,2 ; . . ; c1,3 c2,2 ] ∈ 6,2 . , the Cartesian product of the fingerprint components is not materialised. We remark that the fingerprint representation has a number of advantages. First, the fingerprinted Programme Unit is still in vectorial form, thus, we can still rely on the vector model for data retrieval. At the same time, we can rely on the fuzzy logic theory to express the uncertainty in the choice of a concept/class associated to a Programme Unit.

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