Please use this identifier to cite or link to this item: https://doi.org/10.1145/2072298.2071949
Title: Document dependent fusion in multimodal music retrieval
Authors: Li, Z.
Zhang, B.
Wang, Y. 
Keywords: Descriptive ability
Document dependent fusion
Multimodal search
Music
Query dependent fusion
Issue Date: 2011
Source: Li, Z.,Zhang, B.,Wang, Y. (2011). Document dependent fusion in multimodal music retrieval. MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops : 1105-1108. ScholarBank@NUS Repository. https://doi.org/10.1145/2072298.2071949
Abstract: In this paper, we propose a novel multimodal fusion frame-work, document dependent fusion (DDF), which derives the optimal combination strategy for each individual document in the fusion process. For each document, we derive a document weight vector by estimating the descriptive abilities of its different modalities. The document weight vector also enables our framework to be easily integrated with existing multimodal fusion schemes, and achieve a better combination strategy for each document given a query. Experiments are conducted on a 17174-song music database to compare the retrieval accuracy of traditional query independent fusion and query dependent fusion approaches, and that obtained after integrating DDF with them. Experimental results indicate that DDF can significantly improve the retrieval performance of current fusion approaches. Copyright 2011 ACM.
Source Title: MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
URI: http://scholarbank.nus.edu.sg/handle/10635/41360
ISBN: 9781450306164
DOI: 10.1145/2072298.2071949
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