Advances in Information Retrieval: 24th BCS-IRSG European by Thomas Sødring, Alan F. Smeaton (auth.), Fabio Crestani,


By Thomas Sødring, Alan F. Smeaton (auth.), Fabio Crestani, Mark Girolami, Cornelis Joost van Rijsbergen (eds.)

The annual colloquium on details retrieval examine offers a chance for either new and proven researchers to offer papers describing paintings in growth or ?nal effects. This colloquium was once demonstrated through the BCS IRSG(B- tish desktop Society details Retrieval expert Group), and named the yearly Colloquium on info Retrieval examine. lately, the positioning of the colloquium has alternated among the uk and continental Europe. To re?ect the transforming into ecu orientation of the development, the colloquium was once renamed “European Annual Colloquium on details Retrieval learn” from 2001. because the inception of the colloquium in 1979 the development has been hosted within the urban of Glasgow on 4 separate events. notwithstanding, this was once the ?rst time that the association of the colloquium have been together undertaken through 3 separate desktop and data technology departments; a sign of the collaborative nature and variety of IR examine in the universities of the West of Scotland. The organizers of ECIR 2002 observed a pointy elevate within the variety of move- caliber submissions in solution to the decision for papers over earlier years and as such fifty two submitted papers have been each one allotted three participants of this system committee for double blind evaluation of the manuscripts. a complete of 23 papers have been ultimately chosen for oral presentation on the colloquium in Glasgow which gave an attractiveness fee of below forty five% and ensured a really excessive general of the papers presented.

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Extra info for Advances in Information Retrieval: 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25–27, 2002 Proceedings

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The term Sv above is then defined Organising and Searching Partially Indexed Image Databases Cluster C2 from Cluster C1 from A Thematic Visual dendrogram dendrogram B 29 C A D G Fig. 3. The “tunnel” mechanism. as a linear combination between a local term and a global term (the wl factor gives less or more importance to the local visual term against the global one): Sv = wl ∗ Sl,v + (1 − wl ) ∗ Sg,v . 1 Experiments Corpus Characteristics and Indexing Experiments reported in this paper are based on an image corpus containing 2470 heterogeneous images (pictures, paintings, .

When no particular assumption can be made on the domain, textual description can be attached to images by means of keywords, and pictorial content can be characterised by visual features, whereas no link is established between these two different spaces: some systems rely on keywords, shape, colour and texture to build a similarity measure [13]. Textual annotations have to be provided by hand. As an attempt to bring together textual and visual properties, keywords can be associated to a combination of visual features [14].

11. Y. Mori, H. Takahashi, and R. Ohta. Automatic word assignment to images based on image division and vector quantization. In RIAO 2000, volume 1, pages 285– 293, Paris, France, April 2000. 12. C. Nastar, M. Mischke, C. Meilhac, N. Boudjemaa, H. Bernard, and M. Mautref. Retrieving images by content: the surfimage system. In Multimedia Information Systems, Istanbul, 1998. 13. W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, and G. Taubin. The QBIC project: querying images by content using color, texture and shape.

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