Video summarisation with visual and semantic cues-Reference-Cited by-同舟云学术

Video summarisation with visual and semantic cues

Published:2020-10-02 Issue:13 Volume:14 Page:3134-3142
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Xu Binwei¹,Liang Haoran²,Liang Ronghua²

Affiliation:

1. College of Information Engineering, Zhejiang University of Technology288 Liuhe Rd, Xihu DistrictHangzhou310013People's Republic of China

2. College of Computer Science & Technology College of Software, Zhejiang University of Technology288 Liuhe Rd, Xihu DistrictHangzhou310013People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1355

Reference42 articles.

1. VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method

2. STIMO: STIll and MOving video storyboard for the web scenario

3. Motion Frame Analysis and Scene Abstraction: Discrimination Ability of Fuzziness Measures

4. Efficient visual attention based framework for extracting key frames from videos

5. Large-Scale Video Summarization Using Web-Image Priors

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