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: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationAnimal Environment and Welfare - Proceedings of International Symposium
EditorsJi-Qin Ni, Lingjuan Wang-Li, Chaoyuan Wang
PublisherInternational Research Center for Animal Environment and Welfare
Pages287-294
Publication statusPublished - Oct 2021

Conference

Title6th International Symposium on Animal Environment and Welfare (ISAEW 2021)
PlaceChina
CityChongring
Period20 - 23 October 2021

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; Liu, Kai.

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: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review