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AdOn: an intelligent overlay video advertising system

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents

Boston, MA, USA

POSTER SESSION: Posters table of contents

Pages 628-629

Year of Publication: 2009

ISBN:978-1-60558-483-6

Authors

Jinlian Guo	University of Science and Technology of China, Hefei, China
Tao Mei	Microsoft Research Asia, Beijing, China
Falin Liu	University of Science and Technology of China, Hefei, China
Xian-Sheng Hua	Microsoft Research Asia, Beijing, China

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

This paper presents a new video advertising system, called AdOn, which supports intelligent overlay video ads. Unlike most current ad-networks such as Youtube that overlay the ads at fixed positions in the videos (e.g., on the bottom fifth of videos 15 seconds in), AdOn is able to automatically detect a set of spatio-temporal nonintrusive positions and associate the contextually relevant ads with these positions. The overlay positions are obtained on the basis of video structuring, face and text detection, as well as visual saliency analysis, so that the intrusiveness to the users can be minimized. The ads are selected according to content-based multimodal relevance so that advertising relevance can be maximized. AdOn represents one of the first attempts towards intelligent overlay video advertising by leveraging video content analysis techniques.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Wei-Shing Liao , Kuan-Ting Chen , Winston H. Hsu, AdImage: video advertising by image matching and ad scheduling optimization, Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, July 20-24, 2008, Singapore, Singapore [doi>10.1145/1390334.1390494]
	2	Huiying Liu , Shuqiang Jiang , Qingming Huang , Changsheng Xu, A generic virtual content insertion system based on visual attention analysis, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada [doi>10.1145/1459359.1459410]
	3	LiveRail. Q4 2008 state of the industry.
	4	Tao Mei , Xian-Sheng Hua , Linjun Yang , Shipeng Li, VideoSense: towards effective online video advertising, Proceedings of the 15th international conference on Multimedia, September 25-29, 2007, Augsburg, Germany [doi>10.1145/1291233.1291467]
	5	YouTube. http://www.youtube.com/.