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Paper Abstract and Keywords
Presentation 2017-02-20 16:15
Feedback assisted multi-modality reranking for video search improvement
Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Video reranking is an effective way for improving the retrieval performance of keyword-based video search engines. A fundamental issue underlying the success of existing video reranking approaches is the ability in identifying potentially useful recurrent patterns from the initial search results. These patterns can be leveraged to upgrade the ranks of visually similar videos, which are also likely to be relevant. However, mining useful patterns without understanding query may lead to incorrect judgment in reranking. We explore the user selected data, which can be viewed as the footprints of user searching behavior, as an effective means of understanding query, for providing the basis on identifying the recurrent patterns that are potentially helpful for reranking. In this paper, a new reranking algorithm, named user feedback assisted multi-modality reranking, is proposed. The algorithm leverages selected videos to locate similar videos that are not selected, and reranks them in a multi-modality learning scheme. Experimental results obtained by applying the proposed method to a real-world video collection show its effectiveness.
Keyword (in Japanese) (See Japanese page) 
(in English) video search / user feedback / reranking / / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2017-02-CE-MMS-AIT-HI-ME-ITS-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feedback assisted multi-modality reranking for video search improvement 
Sub Title (in English)  
Keyword(1) video search  
Keyword(2) user feedback  
Keyword(3) reranking  
1st Author's Name Takamasa Fujii  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Soh Yoshida  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Mitsuji Muneyasu  
3rd Author's Affiliation Kansai University (Kansai Univ.)
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Date Time 2017-02-20 16:15:00 
Presentation Time 15 
Registration for ITE-ME 
Paper #  
Volume (vol) IEICE-116 
Number (no)  
#Pages IEICE- 
Date of Issue  

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