Ad-hoc Video Search Improved by the Word Sense Filtering of Query Terms

Koji Hirakawa, Kotaro Kikuchi, Kazuya Ueki, Tetsunori Kobayashi, Yoshihiko Hayashi*


研究成果: Conference contribution


The performances of an ad-hoc video search (AVS) task can only be improved when the video processing for analyzing video contents and the linguistic processing for interpreting natural language queries are nicely combined. Among the several issues associated with this challenging task, this paper particularly focuses on the sense disambiguation/filtering (WSD/WSF) of the terms contained in a search query. We propose WSD/WSF methods which employ distributed sense representations, and discuss their efficacy in improving the performance of an AVS system which makes full use of a large bank of visual concept classifiers. The application of a WSD/WSF method is crucial, as each visual concept classifier is linked with the lexical concept denoted by a word sense. The results are generally promising, outperforming not only a baseline query processing method that only considers the polysemy of a query term but also a strong WSD baseline method.

ホスト出版物のタイトルInformation Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Proceedings
編集者Lun-Wei Ku, Jui-Feng Yeh, Liang-Chih Yu, Yuen-Hsien Tseng, Zhi-Hong Chen, Tetsuya Sakai, Jing Jiang, Lung-Hao Lee, Dae Hoon Park
出版社Springer Verlag
出版ステータスPublished - 2018
イベント14th Asia Information Retrieval Societies conference, AIRS 2018 - Taipei, Taiwan, Province of China
継続期間: 2018 11月 282018 11月 30


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11292 LNCS


Other14th Asia Information Retrieval Societies conference, AIRS 2018
国/地域Taiwan, Province of China

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般


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