Finding advertising keywords on video scripts

Jung Tae Lee, Hyungdong Lee, Hee Seon Park, Young In Song, Hae-Chang Rim

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

3 Citations (Scopus)

Abstract

A key to success to contextual in-video advertising is finding advertising keywords on video contents effectively, but there has been little literature in the area so far. This paper presents some preliminary results of our learning-based system that finds relevant advertising keywords on particular scene of video contents using their scripts. The system is trained with not only features proven useful in earlier studies but novel features that reflect the situation of a targeted scene. Experimental results show that the new features are potentially helpful for enhancing the accuracy of keyword extraction for contextual in-video advertising.

Original languageEnglish
Title of host publicationProceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Pages686-687
Number of pages2
DOIs
Publication statusPublished - 2009 Dec 28
Event32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, MA, United States
Duration: 2009 Jul 192009 Jul 23

Other

Other32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
CountryUnited States
CityBoston, MA
Period09/7/1909/7/23

Keywords

  • Contextual in-video advertising
  • Keyword extraction

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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  • Cite this

    Lee, J. T., Lee, H., Park, H. S., Song, Y. I., & Rim, H-C. (2009). Finding advertising keywords on video scripts. In Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 (pp. 686-687) https://doi.org/10.1145/1571941.1572078