Cross-media association engine for evaluating emotive effects of advertisement video data streams

Takahiro Hiruma, Shuichi Kurabayashi, Yasushi Kiyoki

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

Abstract

This paper presents a multimedia data analysis system for evaluating "emotive effect" of advertisements in online video contents. This system evaluates effect of advertisements to viewers by referencing relevance between advertisement strategy descriptions and color-emotion definitions developed in the course of color psychology research. This paper proposes a hybrid feature space model for document data describing advertisement strategy and video data for actual advertisement. This model includes an extraction method for semantic linear features of colors with the spatial and temporal information from the entire stream of each video. This model also includes an extraction method for advertisement strategy by analyzing documents describing organizations' future directions. By using this system, an advertiser company evaluates how the video advertisement is relevant to the advertiser company's strategy. We show several experiments to clarify the effectiveness of this method.

Original languageEnglish
Title of host publicationProceedings of the 13th IASTED International Conference on Software Engineering and Applications, SEA 2009
Pages258-266
Number of pages9
Publication statusPublished - 2009 Dec 1
Event13th IASTED International Conference on Software 13th IASTED International Conference on Software Engineering and Applications, SEA 2009 - Cambridge, MA, United States
Duration: 2009 Nov 22009 Nov 4

Publication series

NameProceedings of the 13th IASTED International Conference on Software Engineering and Applications, SEA 2009

Other

Other13th IASTED International Conference on Software 13th IASTED International Conference on Software Engineering and Applications, SEA 2009
CountryUnited States
CityCambridge, MA
Period09/11/209/11/4

Keywords

  • Advertisement
  • Multimedia database
  • Video analysis

ASJC Scopus subject areas

  • Software

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  • Cite this

    Hiruma, T., Kurabayashi, S., & Kiyoki, Y. (2009). Cross-media association engine for evaluating emotive effects of advertisement video data streams. In Proceedings of the 13th IASTED International Conference on Software Engineering and Applications, SEA 2009 (pp. 258-266). (Proceedings of the 13th IASTED International Conference on Software Engineering and Applications, SEA 2009).