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

Kazuya Ueki, Koji Hirakawa, Kotaro Kikuchi, Tetsunori Kobayash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2018 24th International Conference on Pattern Recognition, ICPR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3322-3327
Number of pages6
ISBN (Electronic)9781538637883
DOIs
Publication statusPublished - 2018 Nov 26
Event24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
Duration: 2018 Aug 202018 Aug 24

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2018-August
ISSN (Print)1051-4651

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
CountryChina
CityBeijing
Period18/8/2018/8/24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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