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Paper Abstract and Keywords
Presentation 2010-11-04 15:00
[Poster Presentation] Hierarchical topic trajectory model for video annotation retrieval considering cross-modal co-occurrences
Takuho Nakano (Univ. Tokyo), Akisato Kimura, Hirokazu Kameoka (NTT), Shigeki Miyabe, Shigeki Sagayama, Nobutaka Ono (Univ. Tokyo), Kunio Kashino (NTT), Takuya Nishimoto (Univ. Tokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper deals with a problem of ``video annotation retrieval'' that achieves automatic video annotaion (providing relevant text labels for a given video clip) and video retrieval (providing relevant video clips for a given text label(s)) within a unified framework. We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for aquiring a dynamically changing topic model that represents the relationship between video frames and associated text labels. Model parameter estimation, annotaion and retrieval can be easily executed. It is also easy to add new modals such as audio signal and geometrical information. Preliminary experiments on video annotation task with humanly annotated video dataset indicate that our proposed method can improve the annotation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) video annotation retrieval / topic model / canonical correlation analysis / hidden Markov model / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 265, IBISML2010-73, pp. 105-112, Nov. 2010.
Paper # IBISML2010-73 
Date of Issue 2010-10-28 (IBISML) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee IBISML  
Conference Date 2010-11-04 - 2010-11-06 
Place (in Japanese) (See Japanese page) 
Place (in English) IIS, Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IBIS 2010 (Workshop on Information-based Induction Sciences) 
Paper Information
Registration To IBISML 
Conference Code 2010-11-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hierarchical topic trajectory model for video annotation retrieval considering cross-modal co-occurrences 
Sub Title (in English)  
Keyword(1) video annotation retrieval  
Keyword(2) topic model  
Keyword(3) canonical correlation analysis  
Keyword(4) hidden Markov model  
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1st Author's Name Takuho Nakano  
1st Author's Affiliation The University of Tokyo (Univ. Tokyo)
2nd Author's Name Akisato Kimura  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Hirokazu Kameoka  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Shigeki Miyabe  
4th Author's Affiliation The University of Tokyo (Univ. Tokyo)
5th Author's Name Shigeki Sagayama  
5th Author's Affiliation The University of Tokyo (Univ. Tokyo)
6th Author's Name Nobutaka Ono  
6th Author's Affiliation The University of Tokyo (Univ. Tokyo)
7th Author's Name Kunio Kashino  
7th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
8th Author's Name Takuya Nishimoto  
8th Author's Affiliation The University of Tokyo (Univ. Tokyo)
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Speaker
Date Time 2010-11-04 15:00:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2010-73 
Volume (vol) IEICE-110 
Number (no) no.265 
Page pp.105-112 
#Pages IEICE-8 
Date of Issue IEICE-IBISML-2010-10-28 


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