Abstract
In this work, we present two algorithms to improve the effectiveness of multimedia retrieval. One, as earlier approaches, uses several retrieval methods to improve the result, and the other uses one single method to achieve higher effectiveness. One of the advantages of the proposed algorithms is that they can be computed efficiently in top of existing indexes. Our experimental evaluation over 3D object datasets shows that the proposed techniques outperforms the multimetric approach and previously existing rank fusion methods.
Partially funded by Conicyt (Chile), through the Master Scholarship (first author).
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Kreft, S., Bustos, B. (2010). Rank-Mixer and Rank-Booster: Improving the Effectiveness of Retrieval Methods. In: Ünay, D., Çataltepe, Z., Aksoy, S. (eds) Recognizing Patterns in Signals, Speech, Images and Videos. ICPR 2010. Lecture Notes in Computer Science, vol 6388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17711-8_13
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DOI: https://doi.org/10.1007/978-3-642-17711-8_13
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