Learning-Based interactive retrieval in large-scale multimedia collections

Authors:
Hisham Mohamed;Marc von Wyl;Eric Bruno;Stéphane Marchand-Maillet
Affiliations:
Viper Group - Department of Computer Science, University of Geneva, Switzerland;Viper Group - Department of Computer Science, University of Geneva, Switzerland;Data Mining and Knowledge Discovery - Corporate R&D Division, Firmenich SA, Switzerland;Viper Group - Department of Computer Science, University of Geneva, Switzerland
Venue:
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Year:
2011

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Abstract

Indexing web-scale multimedia is only possible by distributing storage and computing efforts. Existing large-scale content-based indexing services mostly do not offer interactive relevance feedback. Here, we detail the construction of our Cross-Modal Search Engine (CMSE) implementing a query-by-example search strategy with relevance feedback and distributed over a cluster of 20 Dual core machines using MPI. We present the performance gain in terms of interactivity (search time) using a part of the Image-Net collection containing more than one million images as base example.