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Video Skimming: Taxonomy and Comprehensive Survey

Authors:

Vivekraj V. K.,

Balasubramanian RamanAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 52, Issue 5

Article No.: 106, Pages 1 - 38

https://doi.org/10.1145/3347712

Published: 13 September 2019 Publication History

Abstract

Video skimming, also known as dynamic video summarization, generates a temporally abridged version of a given video. Skimming can be achieved by identifying significant components either in uni-modal or multi-modal features extracted from the video. Being dynamic in nature, video skimming, through temporal connectivity, allows better understanding of the video from its summary. Having this obvious advantage, recently, video skimming has drawn the focus of many researchers benefiting from the easy availability of the required computing resources. In this article, we provide a comprehensive survey on video skimming focusing on the substantial amount of literature from the past decade. We present a taxonomy of video skimming approaches and discuss their evolution highlighting key advances. We also provide a study on the components required for the evaluation of a video skimming performance.

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 52, Issue 5

September 2020

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3362097

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering

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Publication History

Published: 13 September 2019

Accepted: 01 July 2019

Revised: 01 March 2019

Received: 01 April 2018

Published in CSUR Volume 52, Issue 5

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https://doi.org/10.1007/s11042-024-19977-0
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Gupta DSharma A(2023)A comprehensive study of automatic video summarization techniquesArtificial Intelligence Review10.1007/s10462-023-10429-z56:10(11473-11633)Online publication date: 13-Mar-2023
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Cardoso LGomes GGuimarães Sdo Patrocínio Júnior Z(2023)Hierarchical Time-Aware Approach for Video SummarizationIntelligent Systems10.1007/978-3-031-45368-7_18(274-288)Online publication date: 12-Oct-2023
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