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  1. Transactions on Multimedia Computing, Communications, and Applications (TOMM)
  2. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 8
  3. Issue 1, January 2012
  4. ImageSense: Towards contextual image advertising
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 13
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 12
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 11
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 10
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 9
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 8
Issue 1, January 2012
Editorial note and call for nominations: Nicolas D. Georganas best paper award
The sweet smell of success: Enhancing multimedia applications with olfaction
Design and evaluation of a testbed for mobile TV networks
Discovering multirelational structure in social media streams
Exploring interest correlation for peer-to-peer socialized video sharing
ImageSense: Towards contextual image advertising
Fusing multiple video sensors for surveillance
Towards an automatic music arrangement framework using score reduction

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ImageSense: Towards contextual image advertising (TOMM, Vol.8, Issue 1)

Content Provider ACM Digital Library
Author Hua, Xian-Sheng Mei, Tao Li, Shipeng Li, Lusong
Copyright Year 2012
Abstract The daunting volumes of community-contributed media contents on the Internet have become one of the primary sources for online advertising. However, conventional advertising treats image and video advertising as general text advertising by displaying relevant ads based on the contents of the Web page, without considering the inherent characteristics of visual contents. This article presents a contextual advertising system driven by images, which automatically associates relevant ads with an image rather than the entire text in a Web page and seamlessly inserts the ads in the nonintrusive areas within each individual image. The proposed system, called $\textit{ImageSense},$ supports scalable advertising of, from root to node, Web sites, pages, and images. In ImageSense, the ads are selected based on not only textual relevance but also visual similarity, so that the ads yield contextual relevance to both the text in the Web page and the image content. The ad insertion positions are detected based on image salience, as well as face and text detection, to minimize intrusiveness to the user. We evaluate ImageSense on a large-scale real-world images and Web pages, and demonstrate the effectiveness of ImageSense for online image advertising.
Starting Page 1
Ending Page 18
Page Count 18
File Format PDF
ISSN 15516857
e-ISSN 15516865
DOI 10.1145/2071396.2071402
Volume Number 8
Issue Number 1
Journal ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-02-03
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Content Type Text
Resource Type Article
Subject Hardware and Architecture Computer Networks and Communications
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