Matching commercial clips from TV streams using a unique, robust and compact signature

Yijun Li; Jesse S. Jin; Xiaofang Zhou

doi:10.1109/DICTA.2005.1578137

Matching commercial clips from TV streams using a unique, robust and compact signature

Yijun Li^*, Jesse S. Jin, Xiaofang Zhou

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

17 Citations (Scopus)

Abstract

One of critical challenges in automatic recognition of TV commercials is to generate a unique, robust and compact signature. Uniqueness indicates the ability to identify the similarity among the commercial video clips which may have slight content variation. Robustness means the ability to match commercial video clips containing the same content but probably with different digitalization/encoding, some noise data, and/or transmission and recording distortion. Efficiency is about the capability of effectively matching commercial video sequences with a low computation cost and storage overhead. In this paper, we present a binary signature based method, which meets all the three criteria above, by combining the techniques of ordinal and color measurements. Experimental results on a real large commercial video database show that our novel approach delivers a significantly better performance comparing to the existing methods.

Original language	English
Title of host publication	Proceedings of the Digital Imaging Computing
Subtitle of host publication	Techniques and Applications, DICTA 2005
Pages	266-272
Number of pages	7
DOIs	https://doi.org/10.1109/DICTA.2005.1578137
Publication status	Published - 2005
Externally published	Yes
Event	Digital Imaging Computing: Techniques and Applications, DICTA 2005 - Cairns, Australia Duration: 6 Dec 2005 → 8 Dec 2005

Publication series

Name	Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005
Volume	2005

Conference

Conference	Digital Imaging Computing: Techniques and Applications, DICTA 2005
Country/Territory	Australia
City	Cairns
Period	6/12/05 → 8/12/05

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10.1109/DICTA.2005.1578137

Cite this

Li, Y., Jin, J. S., & Zhou, X. (2005). Matching commercial clips from TV streams using a unique, robust and compact signature. In Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005 (pp. 266-272). Article 1578137 (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; Vol. 2005). https://doi.org/10.1109/DICTA.2005.1578137

@inproceedings{6225026625a446a59ec1a77ada1df680,

title = "Matching commercial clips from TV streams using a unique, robust and compact signature",

abstract = "One of critical challenges in automatic recognition of TV commercials is to generate a unique, robust and compact signature. Uniqueness indicates the ability to identify the similarity among the commercial video clips which may have slight content variation. Robustness means the ability to match commercial video clips containing the same content but probably with different digitalization/encoding, some noise data, and/or transmission and recording distortion. Efficiency is about the capability of effectively matching commercial video sequences with a low computation cost and storage overhead. In this paper, we present a binary signature based method, which meets all the three criteria above, by combining the techniques of ordinal and color measurements. Experimental results on a real large commercial video database show that our novel approach delivers a significantly better performance comparing to the existing methods.",

author = "Yijun Li and Jin, \{Jesse S.\} and Xiaofang Zhou",

year = "2005",

doi = "10.1109/DICTA.2005.1578137",

language = "English",

isbn = "0769524672",

series = "Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005",

pages = "266--272",

booktitle = "Proceedings of the Digital Imaging Computing",

note = "Digital Imaging Computing: Techniques and Applications, DICTA 2005 ; Conference date: 06-12-2005 Through 08-12-2005",

}

Li, Y, Jin, JS & Zhou, X 2005, Matching commercial clips from TV streams using a unique, robust and compact signature. in Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005., 1578137, Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005, vol. 2005, pp. 266-272, Digital Imaging Computing: Techniques and Applications, DICTA 2005, Cairns, Australia, 6/12/05. https://doi.org/10.1109/DICTA.2005.1578137

Matching commercial clips from TV streams using a unique, robust and compact signature. / Li, Yijun; Jin, Jesse S.; Zhou, Xiaofang.
Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005. 2005. p. 266-272 1578137 (Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005; Vol. 2005).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AB - One of critical challenges in automatic recognition of TV commercials is to generate a unique, robust and compact signature. Uniqueness indicates the ability to identify the similarity among the commercial video clips which may have slight content variation. Robustness means the ability to match commercial video clips containing the same content but probably with different digitalization/encoding, some noise data, and/or transmission and recording distortion. Efficiency is about the capability of effectively matching commercial video sequences with a low computation cost and storage overhead. In this paper, we present a binary signature based method, which meets all the three criteria above, by combining the techniques of ordinal and color measurements. Experimental results on a real large commercial video database show that our novel approach delivers a significantly better performance comparing to the existing methods.

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BT - Proceedings of the Digital Imaging Computing

T2 - Digital Imaging Computing: Techniques and Applications, DICTA 2005

Y2 - 6 December 2005 through 8 December 2005

ER -

Matching commercial clips from TV streams using a unique, robust and compact signature

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