Video summarisation by deep visual and categorical diversity-Reference-Cited by-同舟云学术

Video summarisation by deep visual and categorical diversity

Author:

Atencio Pedro¹^ORCID,German Sánchez‐Torres²,Branch John William³,Delrieux Claudio⁴

Affiliation:

1. Faculty of EngineeringInstituto Tecnológico MetropolitanoMedellinColombia

2. Faculty of EngineeringUniversidad del MagdalenaSanta MartaColombia

3. Faculty of MinesUniversidad Nacional de ColombiaMedellinColombia

4. Electric and Computing Engineering DepartmentUniversidad Nacional del SurBahia BlancaArgentina

Funder

Departamento Administrativo de Ciencia, Tecnología e Innovación

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

Reference41 articles.

1. Yeung S. Fathi A. Fei‐Fei L.: ‘VideoSET: video summary evaluation through text’ arXiv preprint arXiv:1406.5824 2014

3. Personalized egocentric video summarization of cultural tour on user preferences input;Varini P.;IEEE Trans. Multimed.,2017

5. Otani M. Nakashima Y. Rahtu E. et al: ‘Video summarization using deep semantic features’ CoRR 2016 vol. abs/1609.0

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