By Yuli Gao, Jianping Fan, Hangzai Luo, Shin’ichi Satoh (auth.), Shin’ichi Satoh, Frank Nack, Minoru Etoh (eds.)
Welcometothe14thInternationalMultimediaModelingConference(MMM2008), held January 9–11, 2008 at Kyoto collage, Kyoto, Japan. MMM is a number one overseas convention for researchersand practitioners to percentage their new principles, unique study effects and sensible improvement reports from all multimedia comparable parts. It used to be a very good honor to have MMM2008, probably the most long-standing m- timedia meetings, at essentially the most appealing and traditionally very important jap towns. Kyoto was once an historic capital of Japan, and was once and nonetheless is on the heartofJapanesecultureandhistory. Kyotoinwintermaydistinctivelyo?er the sober surroundings of an ink portray. you could get pleasure from previous shrines and temples that are detailed as global history websites. The convention venue was once the Clock Tower Centennial corridor in Kyoto college, that's one of many oldest universities in Japan. MMM2008 featured a accomplished application together with 3 keynote talks, six oral presentation classes, and poster and demo classes. The 133 s- missions integrated a great number of top of the range papers in multimedia content material research, multimedia sign processing and communications, and multimedia functions and prone. We thank our 137 Technical application Committee contributors and reviewers who spent many hours reviewing papers and prov- ing precious suggestions to the authors. in response to the three or four studies in step with paper this system Chairs made up our minds to simply accept in basic terms 23 as oral papers and 24 as poster papers, the place each one kind of presentation may possibly additionally current the paintings as a demo. The attractiveness price of 36% follows the MMM culture of ful?lling fruitful discussions in the course of the conference.
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Additional resources for Advances in Multimedia Modeling: 14th International Multimedia Modeling Conference, MMM 2008, Kyoto, Japan, January 9-11, 2008. Proceedings
In: Advances in Neural Information Processing Systems (NIPS) (2001) 14. : A comparative study on feature selection in text categorization. In: Proceedings of ICML, Nashville, US, pp. 412–420 (1997) 15. : A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40(1), 262–282 (2007) 16. : Managing gigabytes: compressing and indexing documents and images. Morgan Kaufmann Publishers Inc, San Francisco (1999) 17. com Abstract. , a shot is consisted of three layers including shot, keyframe, and region.
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The level-set formulation of active contour models are called implicit active contour models because the evolving curves are represented implicitly as the zero of the level-set function. Active contour models are classiﬁed as edge-based models and region-based models. Edge-based models [2,3] make the evolving curves stopped by using an edge function deﬁned in terms of the gradient of the image intensity. This method has disadvantages when the image has uncertain edges. Region-based models  try to ﬁnd regions which are homogeneous, and the edges are obtained as the boundaries of the discovered regions.