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Video shot boundary detection: Seven years of TRECVid activity

Published: 01 April 2010 Publication History

Abstract

Shot boundary detection (SBD) is the process of automatically detecting the boundaries between shots in video. It is a problem which has attracted much attention since video became available in digital form as it is an essential pre-processing step to almost all video analysis, indexing, summarisation, search, and other content-based operations. Automatic SBD was one of the tracks of activity within the annual TRECVid benchmarking exercise, each year from 2001 to 2007 inclusive. Over those seven years we have seen 57 different research groups from across the world work to determine the best approaches to SBD while using a common dataset and common scoring metrics. In this paper we present an overview of the TRECVid shot boundary detection task, a high-level overview of the most significant of the approaches taken, and a comparison of performances, focussing on one year (2005) as an example.

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  • (2023)Shot Boundary Detection Using Color Clustering and Attention MechanismACM Transactions on Multimedia Computing, Communications, and Applications10.1145/359592319:6(1-23)Online publication date: 12-Jul-2023
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Information & Contributors

Information

Published In

cover image Computer Vision and Image Understanding
Computer Vision and Image Understanding  Volume 114, Issue 4
April, 2010
92 pages

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 April 2010

Author Tags

  1. Evaluation
  2. Shot boundary detection
  3. TRECVid

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  • (2024)StreamSense: Policy-driven Semantic Video Search in Streaming SystemsProceedings of the 25th International Middleware Conference Industrial Track10.1145/3700824.3701097(29-35)Online publication date: 2-Dec-2024
  • (2024)TransNet V2: An Effective Deep Network Architecture for Fast Shot Transition DetectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3685517(11218-11221)Online publication date: 28-Oct-2024
  • (2023)Shot Boundary Detection Using Color Clustering and Attention MechanismACM Transactions on Multimedia Computing, Communications, and Applications10.1145/359592319:6(1-23)Online publication date: 12-Jul-2023
  • (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
  • (2022)OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and ClassificationProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3547839(6269-6277)Online publication date: 10-Oct-2022
  • (2022)A survey on event detection based video summarization for cricketMultimedia Tools and Applications10.1007/s11042-022-12834-y81:20(29253-29281)Online publication date: 1-Aug-2022
  • (2021)A Shot boundary Detection Technique based on Visual Colour InformationMultimedia Tools and Applications10.1007/s11042-020-09857-880:3(4007-4022)Online publication date: 1-Jan-2021
  • (2021)SBD-Duo: a dual stage shot boundary detection technique robust to motion and illumination effectMultimedia Tools and Applications10.1007/s11042-020-09683-y80:2(3071-3087)Online publication date: 1-Jan-2021
  • (2020)Learnable Optimal Sequential Grouping for Video Scene DetectionProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413612(1958-1966)Online publication date: 12-Oct-2020
  • (2020)A survey on description and modeling of audiovisual documentsMultimedia Tools and Applications10.1007/s11042-020-09589-979:45-46(33519-33546)Online publication date: 1-Dec-2020
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