Video scene determination using audiovisual data analysis

Seungmin Rho, Een Jun Hwang

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

5 Citations (Scopus)

Abstract

While current approaches for segmenting or classifying audiovisual data are mostly focused on visual information, audio information may also play an important role in the content parsing for many applications. In this paper, we propose a novel scheme for determining video scenes by analyzing both audio and video data. We also describe some preliminary experiments that we have performed and report some of the results in the automatic segmentation and classification of audiovisual data for video indexing and retrieval. Audio segmentation and classification are used not only for extracting useful video indexing information, but also for performing a preprocessing step for other analysis modules.

Original languageEnglish
Title of host publicationProceedings - International Conference on Distributed Computing Systems
EditorsN.-F. Tzeng, M. Takizawa
Pages124-129
Number of pages6
Volume24
Publication statusPublished - 2004 Jul 12
Externally publishedYes
EventProceedings - 24th International Conference on Distributed Computing Systems Workshops - Hachioji, Japan
Duration: 2004 Mar 232004 Mar 24

Other

OtherProceedings - 24th International Conference on Distributed Computing Systems Workshops
CountryJapan
CityHachioji
Period04/3/2304/3/24

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ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Rho, S., & Hwang, E. J. (2004). Video scene determination using audiovisual data analysis. In N-F. Tzeng, & M. Takizawa (Eds.), Proceedings - International Conference on Distributed Computing Systems (Vol. 24, pp. 124-129)