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Methods and Challenges in Shot Boundary Detection: A Review

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Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
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Department of Computer Engineering, University of Baghdad, Al-Jadriya 10071, Baghdad, Iraq
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The Signal Processing Media Applications Group (SIGMEDIA), The global centre of excellence for digital content and media innovation (ADAPT Centre), School of Engineering, Trinity College Dublin, The University of Dublin, Dublin 2, Ireland
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(4), 214; https://doi.org/10.3390/e20040214
Received: 25 January 2018 / Revised: 18 February 2018 / Accepted: 27 February 2018 / Published: 23 March 2018
(This article belongs to the Section Complexity)
The recent increase in the number of videos available in cyberspace is due to the availability of multimedia devices, highly developed communication technologies, and low-cost storage devices. These videos are simply stored in databases through text annotation. Content-based video browsing and retrieval are inefficient due to the method used to store videos in databases. Video databases are large in size and contain voluminous information, and these characteristics emphasize the need for automated video structure analyses. Shot boundary detection (SBD) is considered a substantial process of video browsing and retrieval. SBD aims to detect transition and their boundaries between consecutive shots; hence, shots with rich information are used in the content-based video indexing and retrieval. This paper presents a review of an extensive set for SBD approaches and their development. The advantages and disadvantages of each approach are comprehensively explored. The developed algorithms are discussed, and challenges and recommendations are presented. View Full-Text
Keywords: shot boundary detection; temporal video segmentation; video content analysis; video browsing; video retrieval shot boundary detection; temporal video segmentation; video content analysis; video browsing; video retrieval
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Abdulhussain, S.H.; Ramli, A.R.; Saripan, M.I.; Mahmmod, B.M.; Al-Haddad, S.A.R.; Jassim, W.A. Methods and Challenges in Shot Boundary Detection: A Review. Entropy 2018, 20, 214.

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