Presentation	2014-03-13 Trial Realization of Associative Search for Media Understanding Miki HASEYAMA,
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Abstract(in English)	This paper presents a new associative search system for enhancing serendipity which collaboratively use several unstructured data such as images and videos and extracts their latent similarities. In order to realize such systems, the multimodal signal processing is essential. By using several different kinds of data such as images, videos and users' log data, the multimodal signal processing provides a solution to problems of not being able to improve the performance when using only single modalities. Therefore, in this paper, we introduce video retrieval using the multimodal signal processing and also show trial realization of new associative retrieval systems for effectively providing desired contents.
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Keyword(in English)	Media Understanding / Multimodal Signal Processing / Associative Image Search / Visualization Interface
Paper #	PRMU2013-180
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Conference Information
Committee	PRMU
Conference Date	2014/3/6(1days)
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Paper Information
Registration To	Pattern Recognition and Media Understanding (PRMU)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Trial Realization of Associative Search for Media Understanding
Sub Title (in English)
Keyword(1)	Media Understanding
Keyword(2)	Multimodal Signal Processing
Keyword(3)	Associative Image Search
Keyword(4)	Visualization Interface
1st Author's Name	Miki HASEYAMA
1st Author's Affiliation	Graduate School of Information Science and Technology, Hokkaido University()
Date	2014-03-13
Paper #	PRMU2013-180
Volume (vol)	vol.113
Number (no)	493
Page	pp.pp.-
#Pages	5
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