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Abstract:
This paper describes the participation of MIRACLE-GSI research consortium at the ImageCLEF 2009 Photo Retrieval Task. For this campaign, the main purpose of our experiments was to compare the performance of a “standard ” clustering algorithm, based on the k-Medoids algorithm, against a more simple classification technique that makes use of the cluster assignment that was provided for a subset of topics by the task organizers. First a common baseline algorithm was used in all experiments to process the document collection: text extraction, tokenization, conversion to lowercase, filtering, stemming and finally, indexing and retrieval. Then this baseline algorithm is combined with these two different result reranking techniques. As expected, results show that any reranking method outperforms a standard non-clustering image search baseline algorithm in terms of cluster recall. In addition, using the information of cluster assignments leads to the best results.
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