Contextual video advertising system using scene information inferred from video scripts

Bong Jun Yi, Jung Tae Lee, Hyun Wook Woo, Hae Chang Rim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

With the rise of digital video consumptions, contextual video advertising demands have been increasing in recent years. This paper presents a novel video advertising system that selects relevant text ads for a given video scene by automatically identifying the situation of the scene. The situation information of video scenes is inferred from available video scripts. Experimental results show that the use of the situation information enhances the accuracy of ad retrieval for video scenes. The proposed system represents one of the pioneer video advertising systems using contextual information obtained from video scripts.

Original languageEnglish
Title of host publicationSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages771-772
Number of pages2
DOIs
Publication statusPublished - 2010
Event33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland
Duration: 2010 Jul 192010 Jul 23

Publication series

NameSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010
CountrySwitzerland
CityGeneva
Period10/7/1910/7/23

Keywords

  • Contextual video advertising
  • Scene
  • Script
  • Situation

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Yi, B. J., Lee, J. T., Woo, H. W., & Rim, H. C. (2010). Contextual video advertising system using scene information inferred from video scripts. In SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 771-772). (SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval). https://doi.org/10.1145/1835449.1835608