By Thomas Sødring, Alan F. Smeaton (auth.), Fabio Crestani, Mark Girolami, Cornelis Joost van Rijsbergen (eds.)
The annual colloquium on info retrieval learn presents a chance for either new and demonstrated researchers to provide papers describing paintings in growth or ?nal effects. This colloquium was once proven by means of the BCS IRSG(B- tish machine Society info Retrieval professional Group), and named the yearly Colloquium on info Retrieval learn. lately, the site of the colloquium has alternated among the uk and continental Europe. To re?ect the starting to be eu orientation of the development, the colloquium was once renamed “European Annual Colloquium on details Retrieval study” 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 used to be the ?rst time that the association of the colloquium have been together undertaken through 3 separate machine and knowledge technological know-how 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 cross- 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 overview of the manuscripts. a complete of 23 papers have been ultimately chosen for oral presentation on the colloquium in Glasgow which gave an recognition expense of under forty five% and ensured a truly excessive common of the papers presented.
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Extra resources for Advances in Information Retrieval: 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25–27, 2002 Proceedings
Organising and Searching Partially Indexed Image Databases 39 2. G. Ciocca and R. Schettini. A relevance feedback mechanism for content-based image retrieval. Information Processing and Management, 35:605–632, 1999. 3. R. Duda and P. Hart. Pattern Classiﬁcation and Scene Analysis. John Wiley and Sons, 1973. 4. M. Dunlop. Multimedia Information Retrieval. PhD thesis, Glasgow University, Scotland, 1991. 5. A. El-Hamdouchi and P. Willett. Techniques for the measurement of clustering tendency in document retrieval systems.
Query by visual example focuses on one possible representation. Organising and Searching Partially Indexed Image Databases 35 Table 5. Results for queries 9 and 11. (a) Query # 11 (20% indexing) without layout feedback (b) Query # 11 (20% indexing) after layout feedback – Global colour histogram is a rough visual feature. We are dealing with complex images, that would require more accurate features. As a consequence, texture and shape features ought to be incorporated in an eﬃcient visual similarity measure.
13). Finally, the visual weight used to produce the reported results is given (col. 14). 3 Discussion In our approach, the tunnel mechanism has been devised to allow collaboration of textual and visual retrieval techniques. Experiments show that, for each query, an interesting set of images has been retrieved, by means of textual and/or visual similarity measures (see table 3 for a complete report of our results, and tables 4 and 5 for a visual representation of our retrieval results for some queries).
Advances in Information Retrieval: 24th BCS-IRSG European Colloquium on IR Research Glasgow, UK, March 25–27, 2002 Proceedings by Thomas Sødring, Alan F. Smeaton (auth.), Fabio Crestani, Mark Girolami, Cornelis Joost van Rijsbergen (eds.)