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Proceedings Paper

Requirements for benchmarking personal image retrieval systems
Author(s): Jean-Yves Bouguet; Carole Dulong; Igor Kozintsev; Yi Wu
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Paper Abstract

It is now common to have accumulated tens of thousands of personal ictures. Efficient access to that many pictures can only be done with a robust image retrieval system. This application is of high interest to Intel processor architects. It is highly compute intensive, and could motivate end users to upgrade their personal computers to the next generations of processors. A key question is how to assess the robustness of a personal image retrieval system. Personal image databases are very different from digital libraries that have been used by many Content Based Image Retrieval Systems.1 For example a personal image database has a lot of pictures of people, but a small set of different people typically family, relatives, and friends. Pictures are taken in a limited set of places like home, work, school, and vacation destination. The most frequent queries are searched for people, and for places. These attributes, and many others affect how a personal image retrieval system should be benchmarked, and benchmarks need to be different from existing ones based on art images, or medical images for examples. The attributes of the data set do not change the list of components needed for the benchmarking of such systems as specified in2: - data sets - query tasks - ground truth - evaluation measures - benchmarking events. This paper proposed a way to build these components to be representative of personal image databases, and of the corresponding usage models.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6061, Internet Imaging VII, 606101 (16 January 2006); doi: 10.1117/12.660254
Show Author Affiliations
Jean-Yves Bouguet, Intel Corp. (United States)
Carole Dulong, Intel Corp. (United States)
Igor Kozintsev, Intel Corp. (United States)
Yi Wu, Intel Corp. (United States)

Published in SPIE Proceedings Vol. 6061:
Internet Imaging VII
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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