With the broad growth of video capturing devices and applications on the web, it is more demanding to provide desired video content for users efficiently. Video summarization facilitates quickly grasping video content by creating a compact summary of videos. Much effort has been devoted to automatic video summarization, and various problem settings and approaches have been proposed. Our goal is to provide an overview of this field. This survey covers early studies as well as recent approaches which take advantage of deep learning techniques. We describe video summarization approaches and their underlying concepts. We also discuss benchmarks and evaluations. We overview how prior work addressed evaluation and detail the pros and cons of the evaluation protocols. Last but not least, we discuss open challenges in this field.
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12 October 2022
Research Article|
October 12 2022
Video Summarization Overview
Yang Wang
Yang Wang
University of Manitoba
Canada
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Online ISSN: 1572-2759
Print ISSN: 1572-2740
© 2022 Mayu Otani, Yale Song and Yang Wang
2022
Mayu Otani, Yale Song and Yang Wang
Licensed re-use rights only
Foundations and Trends in Computer Graphics and Vision (2022) 13 (4): 284–335.
Citation
Otani M, Song Y, Wang Y (2022), "Video Summarization Overview". Foundations and Trends in Computer Graphics and Vision, Vol. 13 No. 4 pp. 284–335, doi: https://doi.org/10.1561/0600000099
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