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Paper Abstract and Keywords
Presentation 2018-02-24 14:30
A consideration of video search for ambiguous aim
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) It is becoming possible to find the expected videos in the internet with considerable accuracy along with the progress of video analysis technology, but the developed technology does not suitably search videos such as shown at the time of relaxing, when keywords are not clear. To solve the problem the video search method for ambiguous aim is investigated. First, comparative analysis between machine-learning classification with signal-level metadata and manual classification of videos chosen from NHK Creative Library, according to whether to want to watch or not at the time of relaxing, is executed. As a result, it is found that the amount of change in luminance and motion influences the classification, but it is suggested that the semantic-level metadata also influences it.
Keyword (in Japanese) (See Japanese page) 
(in English) Video search / Ambiguous search / Video analysis / Classification / Machine learning / Image features / /  
Reference Info. ITE Tech. Rep., vol. 42, no. 6, ME2018-61, pp. 65-68, Feb. 2018.
Paper # ME2018-61 
Date of Issue 2018-02-17 (ME) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee ME  
Conference Date 2018-02-24 - 2018-02-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanto Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2018-02-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A consideration of video search for ambiguous aim 
Sub Title (in English)  
Keyword(1) Video search  
Keyword(2) Ambiguous search  
Keyword(3) Video analysis  
Keyword(4) Classification  
Keyword(5) Machine learning  
Keyword(6) Image features  
1st Author's Name Ryunosuke Itabashi  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Nobuyuki Yagi  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2018-02-24 14:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # ME2018-61 
Volume (vol) vol.42 
Number (no) no.6 
Page pp.65-68 
Date of Issue 2018-02-17 (ME) 

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