Fine-grained Video Retrieval using Query Phrases - Waseda-Meisei TRECVID 2017 AVS System - Waseda-Meisei T

Kazuya Ueki, Koji Hirakawa, Kotaro Kikuchi, Tetsunori Kobayashi

    研究成果: Conference contribution

    抜粋

    In this paper, a joint team from Waseda University and Meisei University (team name: Waseda-Meisei) report their efforts on the ad-hoc video search (AVS) task for the TRECVID benchmark, which is conducted annually by the National Institute of Standards and Technology (NIST). For the AVS task, a system is required to perform a fine-grained search of target videos from a large-scale video database using a query phrase including multiple keywords, such as objects, persons, scenes, and actions. The system we submitted has the following two characteristics. First, to improve the coverage rate of classes corresponding to keywords in query phrases, we prepared a large number of classifiers that can detect objects, persons, scenes, and actions, which were trained using various image and video datasets. Second, when choosing a concept classifier corresponding to a keyword, we introduced a mechanism that allows us to select additional concept classifiers by incorporating natural language processing techniques. We submitted multiple systems with these characteristics to the TRECVID 2017 AVS task and one of our systems ranked the highest among all the submitted systems from 22 teams.

    元の言語English
    ホスト出版物のタイトル2018 24th International Conference on Pattern Recognition, ICPR 2018
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ3322-3327
    ページ数6
    2018-August
    ISBN(電子版)9781538637883
    DOI
    出版物ステータスPublished - 2018 11 26
    イベント24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
    継続期間: 2018 8 202018 8 24

    Other

    Other24th International Conference on Pattern Recognition, ICPR 2018
    China
    Beijing
    期間18/8/2018/8/24

      フィンガープリント

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    これを引用

    Ueki, K., Hirakawa, K., Kikuchi, K., & Kobayashi, T. (2018). Fine-grained Video Retrieval using Query Phrases - Waseda-Meisei TRECVID 2017 AVS System - Waseda-Meisei T. : 2018 24th International Conference on Pattern Recognition, ICPR 2018 (巻 2018-August, pp. 3322-3327). [8546122] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2018.8546122