DEMIR at ImageCLEFwiki 2011: Evaluating Different Weighting Schemes in Information Retrieval

Le résumé fourni par la source

This paper present the participation details of DEMIR (Dokuz Eylul University Multimedia Information Retrieval) research team at ImageCLEFwiki2011. This year we investigate on evaluating of different weighting models on text retrieval performance. In the case of low-level feature selection, we extracted different features and examined their performance to choose the proper feature for our experiments. Thereupon to apply late fusion for best gained result of image and textual features. In these experiments we found that choice of proper weighting model may crucially affect the performance of any information retrieval system and also we found that although linear weighted fusion is simplest and frequently used method. The results clearly show that combining text-based and content-based image retrieval with a proper fusion technique improves the performance.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.