A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

Endai Huang; Axiu Mao; Haiming Gan; Kai Liu

A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

Endai Huang
, Axiu Mao
, Haiming Gan
, Kai Liu^*

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Original language	English
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
Event	6th International Symposium on Animal Environment and Welfare (ISAEW 2021) - Chongring, China Duration: 20 Oct 2021 → 23 Oct 2021 https://isaew2021.aconf.org

Conference

Conference	6th International Symposium on Animal Environment and Welfare (ISAEW 2021)
Abbreviated title	ISAEW2021
Place	China
City	Chongring
Period	20/10/21 → 23/10/21
Internet address	https://isaew2021.aconf.org

Bibliographical note

Information for this record is supplemented by the author(s) concerned.

Research Keywords

image similarity
representative dataset
perceptual hash algorithm
precision livestock farming
computer vision

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6th International Symposium on Animal Environment and Welfare (ISAEW 2021)
HUANG, E. (Presenter)
Oct 2021
Activity: Organizing or Participating in a conference / an event › Conference / Symposium

Cite this

Huang, Endai ; Mao, Axiu ; Gan, Haiming et al. / A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data. Animal Environment and Welfare - Proceedings of International Symposium. editor / Ji-Qin Ni ; Lingjuan Wang-Li ; Chaoyuan Wang. International Research Center for Animal Environment and Welfare, 2021. pp. 287-294

@inproceedings{55e3f132ee75473dbabe4d586469c7b3,

title = "A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data",

keywords = "image similarity, representative dataset, perceptual hash algorithm, precision livestock farming, computer vision",

author = "Endai Huang and Axiu Mao and Haiming Gan and Kai Liu",

note = "Information for this record is supplemented by the author(s) concerned.; 6th International Symposium on Animal Environment and Welfare (ISAEW 2021), ISAEW2021 ; Conference date: 20-10-2021 Through 23-10-2021",

year = "2021",

month = oct,

language = "English",

pages = "287--294",

editor = "Ji-Qin Ni and Lingjuan Wang-Li and Chaoyuan Wang",

booktitle = "Animal Environment and Welfare - Proceedings of International Symposium",

publisher = "International Research Center for Animal Environment and Welfare",

url = "https://isaew2021.aconf.org",

}

Huang, E , Mao, A, Gan, H & Liu, K 2021, A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data. in J-Q Ni, L Wang-Li & C Wang (eds), Animal Environment and Welfare - Proceedings of International Symposium. International Research Center for Animal Environment and Welfare, pp. 287-294, 6th International Symposium on Animal Environment and Welfare (ISAEW 2021), Chongring, China, 20/10/21.

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.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

AU - Huang, Endai

AU - Mao, Axiu

AU - Gan, Haiming

AU - Liu, Kai

N1 - Information for this record is supplemented by the author(s) concerned.

PY - 2021/10

Y1 - 2021/10

KW - image similarity

KW - representative dataset

KW - perceptual hash algorithm

KW - precision livestock farming

KW - computer vision

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 287

EP - 294

BT - Animal Environment and Welfare - Proceedings of International Symposium

A2 - Ni, Ji-Qin

A2 - Wang-Li, Lingjuan

A2 - Wang, Chaoyuan

PB - International Research Center for Animal Environment and Welfare

T2 - 6th International Symposium on Animal Environment and Welfare (ISAEW 2021)

Y2 - 20 October 2021 through 23 October 2021

ER -

A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

Conference

Bibliographical note

Research Keywords

Other Access Options

Permanent Link

Activities

6th International Symposium on Animal Environment and Welfare (ISAEW 2021)

Cite this