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

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

The annual colloquium on details retrieval study presents a chance for either new and verified researchers to give papers describing paintings in growth or ?nal effects. This colloquium used to be validated by means of the BCS IRSG(B- tish laptop Society details Retrieval expert Group), and named the once a year Colloquium on details Retrieval study. lately, the site of the colloquium has alternated among the uk and continental Europe. To re?ect the growing to be ecu orientation of the development, the colloquium used to be renamed “European Annual Colloquium on info Retrieval examine” from 2001. because the inception of the colloquium in 1979 the development has been hosted within the urban of Glasgow on 4 separate events. besides the fact that, this used to be the ?rst time that the association of the colloquium have been together undertaken by means of 3 separate computing device and knowledge 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 past years and as such fifty two submitted papers have been every one allotted three participants of this system committee for double blind assessment of the manuscripts. a complete of 23 papers have been finally chosen for oral presentation on the colloquium in Glasgow which gave an reputation price of lower than forty five% and ensured a really excessive regular of the papers presented.

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

Sample text

Traditionally, most research has aimed at finding ever more powerful shape descriptors [1]. Little work has been done, however, on how to combine different representations in an attempt to boost retrieval performance. F. Crestani, M. J. ): ECIR 2002, LNCS 2291, pp. 41–52, 2002. c Springer-Verlag Berlin Heidelberg 2002 42 D. Heesch and S. R¨ uger The number of shape representations developed over the past fifty years is bewildering. Each representation differs in applicability and complexity. The simplest representations are based on so called “shape factors,” which are single values that capture but the minimal information of the object.

Table 1 lists these queries, along with a manual evaluation of the amount of potentially relevant images in the corpus. Given the collection test described above, retrieval sessions have been conducted in different indexing conditions, namely 20%, 40% and ad hoc indexing. Only the 10 first images are taken into account (we consider 2 groups of 5 images, that is, k = 2 and n = 5 in equation 1), yielding a global performance measure Q. As the user may tune visual against textual weights to optimise the results, we also indicate the visual weight (in a range from 0 to 100).

16. K. Pratt. Digital Image Processing. John Wiley & Sons, New York, second edition, 1991. 17. J. B. Croft. Document clustering: an evaluation of some experiments with the Cranfield 1400 collection. Information processing and management, 11:171–182, 1974. 18. G. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, 1983. 19. S. Satoh, Y. Nakamura, and T. Kanade. Name-It: Naming and detecting faces in news videos. IEEE MultiMedia, 6(1):22–35, January-March 1999. 20. S. Sclaroff, M.

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