Home > Research > Publications & Outputs > Advances in Video Summarization and Skimming

Research

Links

Text available via DOI:

View graph of relations

Advances in Video Summarization and Skimming

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Advances in Video Summarization and Skimming. / Jiang, Richard M.; Sadka, Abdul H.; Crookes, Danny.
Recent Advances in Multimedia Signal Processing and Communications. Springer, 2009. p. 27-50 ( Studies in Computational Intelligence ; Vol. 231).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Jiang, RM, Sadka, AH & Crookes, D 2009, Advances in Video Summarization and Skimming. in Recent Advances in Multimedia Signal Processing and Communications. Studies in Computational Intelligence , vol. 231, Springer, pp. 27-50. https://doi.org/10.1007/978-3-642-02900-4_2

APA

Jiang, R. M., Sadka, A. H., & Crookes, D. (2009). Advances in Video Summarization and Skimming. In Recent Advances in Multimedia Signal Processing and Communications (pp. 27-50). ( Studies in Computational Intelligence ; Vol. 231). Springer. https://doi.org/10.1007/978-3-642-02900-4_2

Vancouver

Jiang RM, Sadka AH, Crookes D. Advances in Video Summarization and Skimming. In Recent Advances in Multimedia Signal Processing and Communications. Springer. 2009. p. 27-50. ( Studies in Computational Intelligence ). doi: 10.1007/978-3-642-02900-4_2

Author

Jiang, Richard M. ; Sadka, Abdul H. ; Crookes, Danny. / Advances in Video Summarization and Skimming. Recent Advances in Multimedia Signal Processing and Communications. Springer, 2009. pp. 27-50 ( Studies in Computational Intelligence ).

Bibtex

@inbook{153971e7b036418bbe8057e8dbb02c40,
title = "Advances in Video Summarization and Skimming",
abstract = "This chapter summarizes recent advances in video abstraction for fast content browsing, skimming, transmission, and retrieval of massive video database which are demanded in many system applications, such as web multimedia, mobile multimedia, interactive TV, and emerging 3D TV. Video summarization and skimming aims to provide an abstract of a long video for shortening the navigation and browsing the original video. The challenge of video summarization is to effectively extract certain content of the video while preserving essential messages of the original video. In this chapter, the preliminary on video temporal structure analysis is introduced, various video summarization schemes, such as using low-level features, motion descriptors and Eigen-features, are described, and case studies on two practical summarization schemes are presented with experimental results.",
author = "Jiang, {Richard M.} and Sadka, {Abdul H.} and Danny Crookes",
year = "2009",
doi = "10.1007/978-3-642-02900-4_2",
language = "English",
isbn = "9783642028991",
series = " Studies in Computational Intelligence ",
publisher = "Springer",
pages = "27--50",
booktitle = "Recent Advances in Multimedia Signal Processing and Communications",

}

RIS

TY - CHAP

T1 - Advances in Video Summarization and Skimming

AU - Jiang, Richard M.

AU - Sadka, Abdul H.

AU - Crookes, Danny

PY - 2009

Y1 - 2009

N2 - This chapter summarizes recent advances in video abstraction for fast content browsing, skimming, transmission, and retrieval of massive video database which are demanded in many system applications, such as web multimedia, mobile multimedia, interactive TV, and emerging 3D TV. Video summarization and skimming aims to provide an abstract of a long video for shortening the navigation and browsing the original video. The challenge of video summarization is to effectively extract certain content of the video while preserving essential messages of the original video. In this chapter, the preliminary on video temporal structure analysis is introduced, various video summarization schemes, such as using low-level features, motion descriptors and Eigen-features, are described, and case studies on two practical summarization schemes are presented with experimental results.

AB - This chapter summarizes recent advances in video abstraction for fast content browsing, skimming, transmission, and retrieval of massive video database which are demanded in many system applications, such as web multimedia, mobile multimedia, interactive TV, and emerging 3D TV. Video summarization and skimming aims to provide an abstract of a long video for shortening the navigation and browsing the original video. The challenge of video summarization is to effectively extract certain content of the video while preserving essential messages of the original video. In this chapter, the preliminary on video temporal structure analysis is introduced, various video summarization schemes, such as using low-level features, motion descriptors and Eigen-features, are described, and case studies on two practical summarization schemes are presented with experimental results.

U2 - 10.1007/978-3-642-02900-4_2

DO - 10.1007/978-3-642-02900-4_2

M3 - Chapter

SN - 9783642028991

T3 - Studies in Computational Intelligence

SP - 27

EP - 50

BT - Recent Advances in Multimedia Signal Processing and Communications

PB - Springer

ER -