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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 info retrieval examine offers a chance for either new and confirmed researchers to offer papers describing paintings in growth or ?nal effects. This colloquium used to be verified through the BCS IRSG(B- tish desktop Society info Retrieval expert Group), and named the yearly Colloquium on details Retrieval study. lately, the positioning of the colloquium has alternated among the uk and continental Europe. To re?ect the transforming into 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. in spite of the fact that, this was once the ?rst time that the association of the colloquium have been together undertaken by way of 3 separate computing device and knowledge technological know-how departments; a sign of the collaborative nature and variety of IR learn in the universities of the West of Scotland. The organizers of ECIR 2002 observed a pointy elevate within the variety of pass- caliber submissions in resolution to the decision for papers over earlier years and as such fifty two submitted papers have been every one allotted three contributors of this system committee for double blind evaluate of the manuscripts. a complete of 23 papers have been finally chosen for oral presentation on the colloquium in Glasgow which gave an recognition expense of below forty five% and ensured a really excessive regular 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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CHABOT: Retrieval from a relational database of images. IEEE Computer, 28(9):40–48, 1995. 15. W. P. Minka. Vision Texture for Annotation. Multimedia Systems, 3:3–14, 1995. 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.

Information processing and management, 24(5):577–597, 1988. uk Abstract. We study three transformation-invariant shape descriptors and evaluate their relative strengths in the context of content-based retrieval of graphical sketches. We show that the use of a combination of different shape representations may lead to a significant improvement of retrieval performance and identify an optimal combination that proves robust across different data sets and queries. 1 Introduction Over the previous ten years there has been a growing interest in content-based image retrieval (CBIR), a trend that coincides and appears to be causally linked with the rise of the world-wide web and the spread of digital technologies for image creation.

In the last step this sequence of difference chain codes is reduced to a 4-bin percentage histogram resulting in a four-number representation of the contour that is invariant with respect to translation and starting points as well as, though to a lesser extent owing to digitisation noise, to rotation and scaling. Moment invariants. Moments capture distributional properties of a random variable. The first moment is equivalent to the expected value, while the second central moment yields the variance of that variable.

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