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Abstract:
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Photographic Retrieval task of ImageCLEF 2007. For this campaign, the main purpose of our experiments was to thoroughly study different merging strategies, i.e. methods of combination of textual and visual retrieval techniques. While we have applied all the well known techniques which we had already used in previous campaigns, for both textual and visual components of the system, our research has primarily focused on the idea of performing all possible combinations of those techniques in order to evaluate which ones may offer the best results and analyze if the combined results may improve (in terms of MAP) the individual ones. The system includes three main modules. On one hand, apart from the search engine (Xapian or Lucene), the textual retrieval module includes parsers, stemming, stopword filtering, proper noun detection and semantic expansion components. On the other hand, the visual retrieval module is based on two well-known content-based engines: GIFT and FIRE. Finally, the merging module allows to use different operators (AND, OR, LEFT, RIGHT) to combine the outputs of the two previous subsystems and to calculate the result relevance based on different metrics (max, min
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