A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Animal Environment and Welfare - Proceedings of International Symposium |
Editors | Ji-Qin Ni, Lingjuan Wang-Li, Chaoyuan Wang |
Publisher | International Research Center for Animal Environment and Welfare |
Pages | 287-294 |
Publication status | Published - Oct 2021 |
Conference
Title | 6th International Symposium on Animal Environment and Welfare (ISAEW 2021) |
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Place | China |
City | Chongring |
Period | 20 - 23 October 2021 |
Link(s)
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(55e3f132-ee75-473d-babe-4d586469c7b3).html |
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Research Area(s)
- image similarity, representative dataset, perceptual hash algorithm, precision livestock farming, computer vision
Bibliographic Note
Information for this record is supplemented by the author(s) concerned.
Citation Format(s)
A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data. / Huang, Endai; Mao, Axiu; Gan, Haiming et al.
Animal Environment and Welfare - Proceedings of International Symposium. ed. / Ji-Qin Ni; Lingjuan Wang-Li; Chaoyuan Wang. International Research Center for Animal Environment and Welfare, 2021. p. 287-294.
Animal Environment and Welfare - Proceedings of International Symposium. ed. / Ji-Qin Ni; Lingjuan Wang-Li; Chaoyuan Wang. International Research Center for Animal Environment and Welfare, 2021. p. 287-294.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review