Video summarisation by deep visual and categorical diversity

The authors propose a video‐summarisation method based on visual and categorical diversities using pre‐trained deep visual and categorical models. Their method extracts visual and categorical features from a pre‐trained deep convolutional network (DCN) and a pre‐trained word‐embedding matrix. Using...

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Bibliografiska uppgifter

Huvudupphov:	Pedro Atencio, Sánchez‐Torres German, John William Branch, Claudio Delrieux
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Wiley 2019-09-01
Serie:	IET Computer Vision
Ämnen:	video summarisation deep visual diversities categorical diversities video-summarisation method pre-trained deep visual models categorical models
Länkar:	https://doi.org/10.1049/iet-cvi.2018.5436
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