By Michael Lew (auth.), Guoping Qiu, Clement Leung, Xiangyang Xue, Robert Laurini (eds.)
The visible details platforms foreign convention sequence is designed to supply a discussion board for researchers and practitioners from different parts of computing together with machine imaginative and prescient, databases, human–computer interplay, info protection, picture processing, details visualization and mining, in addition to wisdom and knowledge administration to switch rules, speak about demanding situations, current their most recent effects and to enhance examine and improvement within the development and alertness of visible details structures. Following prior meetings held in Melbourne (1996), San Diego (1997), Amsterdam (1999), Lyon (2000), Taiwan (2002), Miami (2003), San Francisco (2004) and Amsterdam (2005), the 9th foreign convention on visible info platforms, VISUAL2007, used to be held in Shanghai, China, June 28–29, 2007. through the years, the visible details structures paradigm keeps to adapt, and the unrelenting exponential progress within the quantity of electronic visible facts underlines the escalating significance of the way such information are successfully controlled and deployed. VISUAL2007 bought 117 submissions from 15 international locations and areas. Submitted complete papers have been reviewed by means of greater than 60 foreign specialists within the box. This quantity collects fifty four chosen papers awarded at VISUAL2007. subject matters coated in those papers comprise snapshot and video retrieval, visible biometrics, clever visible info processing, visible information mining, ubiquitous and cellular visible details platforms, visible semantics, 2D/3D graphical visible info retrieval and purposes of visible details systems.
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Extra info for Advances in Visual Information Systems: 9th International Conference, VISUAL 2007 Shanghai, China, June 28-29, 2007 Revised Selected Papers
Fig. 1. Procedure of video highlight extraction and re-influence on highlight annotation 40 Y. Shen, H. Lu, and X. Xue This paper is organized as follows: section 2 analyzes motion feature extraction and selection of video highlights; section 3 demonstrates color feature selection for video highlights. Section 4 combines these low-level features with high-level semantic structure definition, proposes the mid-level highlight shot feature (HSF) and analyzes its function for highlight annotation and indexing.
Table 1. 65 Extension to and Application in Color Image Processing The increasing availability of images and the corresponding growth of image databases and users, make it a challenge to create automated and reliable image retrieval systems [2,3,10,11,13,15]. We consider the situation in which a reference image is available, and that similar images from a database have to be retrieved. A main drawback of most existing systems is that the images are characterized by textual descriptors (describing features like color, texture, 32 M.
D. Dissertation. and Inf. Science, Univ. of Pennsylvania, USA (1998) 13. : A Probabilistic Layered Framework for Integrating Multimedia Content and Context Information. In: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. 2, pp. 2057–2060. IEEE Computer Society Press, Los Alamitos (2002) 14. : A Self-organising Network That Grows When Required. Neural Networks 15, 1041–1058 (2002) 15. : Image Classification for Contentbased Indexing. IEEE Trans. on Image Processing 10(1), 117–130 (2001) 16.