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Title
Japanese:映像意味検索の未来 
English:The Future of Video Semantic Indexing 
Author
Japanese: 篠田浩一.  
English: Koichi Shinoda.  
Language Japanese 
Journal/Book name
Japanese: 
English: 
Volume, Number, Page        
Published date July 29, 2014 
Publisher
Japanese: 
English: 
Conference name
Japanese:第17回画像の認識・理解シンポジウム (MIRU) 
English: 
Conference site
Japanese:岡山県岡山市 
English:Okayama-shi Okayama Pref. 
Official URL https://sites.google.com/site/miru2014okayama/keynote
 
Abstract Now the internet teems with consumer videos which are highly diverse and often with low quality. Video semantic indexing, which extracts meaningful information from those Internet videos, has been extensively studied. In this paper, we introduce the research activities in TRECVID workshop, an international workshop, where many participants compete with each other on video semantic indexing techniques and forecast their prospect. We focus on machine learning approach robust against the variety and the low quality, fast computational techniques required for real applications, and multi-modal recognition techniques which combine various modes such as image, audio, and text. We discuss their problem, and predict their future development.

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