Article

On the detection and recognition of television commercials

Author:

C. KuhmunchAuthors Info & Claims

ICMCS '97: Proceedings of the 1997 International Conference on Multimedia Computing and Systems

Page 509

https://doi.org/10.1109/MMCS.1997.609763

Published: 03 June 1997 Publication History

Publisher Site

Abstract

TV commercials are interesting in many respects: advertisers and psychologists are interested in their influence on human purchasing habits, while parents might be interested in shielding their children from their influence. In this paper, two methods for detecting and extracting commercials in digital videos are described. The first method is based on statistics of measurable features and enables the detection of commercial blocks within TV broadcasts. The second method performs detection and recognition of known commercials with high accuracy. Finally, we show how both approaches can be combined into a self-learning system. Our experimental results underline the practicality of the methods.

Cited By

View all

Arsan TBulut EEren BUzgor AYolcu S(2022)A novel IPTV framework for automatic TV commercials detection, labeling, recognition and replacementMultimedia Tools and Applications10.1007/s11042-021-11563-y82:6(8561-8579)Online publication date: 31-Aug-2022
https://dl.acm.org/doi/10.1007/s11042-021-11563-y
Iwan LThom J(2017)Temporal video segmentationMultimedia Tools and Applications10.1007/s11042-015-3130-376:1(1379-1401)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3130-3
Effelsberg W(2013)A personal look back at twenty years of research in multimedia content analysisACM Transactions on Multimedia Computing, Communications, and Applications10.1145/25024349:1s(1-4)Online publication date: 17-Oct-2013
https://dl.acm.org/doi/10.1145/2502434
Show More Cited By

Recommendations

On the Detection and Recognition of Television Commercials
An Intelligent Subtitle Detection Model for Locating Television Commercials

A strategy for locating television (TV) commercials in TV programs is proposed. Based on the observation that most TV commercials do not have subtitles, the first stage exploits six subtitle constraints and an adaptive neurofuzzy inference system model ...
The effectiveness of advergames compared to television commercials and interactive commercials featuring advergames

We compare advergames played on a PC to normal and interactive TV commercials.Results show that telepresence and involvement improve brand attitude.But there were no significant differences between the PC, TV, and iTV ad types.PC advergames are, ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ICMCS '97: Proceedings of the 1997 International Conference on Multimedia Computing and Systems

June 1997

ISBN:0818678194

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 June 1997

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

43
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Arsan TBulut EEren BUzgor AYolcu S(2022)A novel IPTV framework for automatic TV commercials detection, labeling, recognition and replacementMultimedia Tools and Applications10.1007/s11042-021-11563-y82:6(8561-8579)Online publication date: 31-Aug-2022
https://dl.acm.org/doi/10.1007/s11042-021-11563-y
Iwan LThom J(2017)Temporal video segmentationMultimedia Tools and Applications10.1007/s11042-015-3130-376:1(1379-1401)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3130-3
Effelsberg W(2013)A personal look back at twenty years of research in multimedia content analysisACM Transactions on Multimedia Computing, Communications, and Applications10.1145/25024349:1s(1-4)Online publication date: 17-Oct-2013
https://dl.acm.org/doi/10.1145/2502434
Li TChen JWu JChua TLu KMei TWu X(2013)Efficient search with multi-modality for video commercial retrievalProceedings of the Fifth International Conference on Internet Multimedia Computing and Service10.1145/2499788.2499838(219-222)Online publication date: 17-Aug-2013
https://dl.acm.org/doi/10.1145/2499788.2499838
Tingting HHongxun YXiaoshuai SGuoyi L(2012)Action segmentation in dance videosProceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing10.1007/978-3-642-34778-8_78(832-840)Online publication date: 4-Dec-2012
https://dl.acm.org/doi/10.1007/978-3-642-34778-8_78
Li YLuo S(2011)A TV commercial detection systemProceedings of the 2011 international conference on Web information systems and mining - Volume Part II10.5555/2045753.2045759(35-43)Online publication date: 24-Sep-2011
https://dl.acm.org/doi/10.5555/2045753.2045759
Biernacki P(2011)Application of multi-agents in TV commercial recognition systemProceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications10.5555/2023144.2023195(406-413)Online publication date: 29-Jun-2011
https://dl.acm.org/doi/10.5555/2023144.2023195
Bai HWang LQin GZhang JTao KChang XDong YDe Natale FDel Bimbo AHanjalic AManjunath BSatoh S(2011)TV program segmentation using multi-modal information fusionProceedings of the 1st ACM International Conference on Multimedia Retrieval10.1145/1991996.1992007(1-8)Online publication date: 18-Apr-2011
https://dl.acm.org/doi/10.1145/1991996.1992007
Ouyang JNie HZhang Mli ZLi Y(2011)Fusing audio-visual fingerprint to detect TV commercial advertisementComputers and Electrical Engineering10.1016/j.compeleceng.2011.08.00437:6(991-1008)Online publication date: 1-Nov-2011
https://dl.acm.org/doi/10.1016/j.compeleceng.2011.08.004
Biernacki P(2010)Intelligent system for commercial block recognition using audio signal onlyProceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I10.5555/1893893.1893938(360-368)Online publication date: 8-Sep-2010
https://dl.acm.org/doi/10.5555/1893893.1893938
Show More Cited By

Abstract

Cited By

Recommendations