Please use this identifier to cite or link to this item:
|Title:||Document dependent fusion in multimodal music retrieval||Authors:||Li, Z.
Document dependent fusion
Query dependent fusion
|Issue Date:||2011||Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 13, 2019
checked on Apr 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.