Audio feature extraction and analysis for scene classification

Zhu Liu, Jincheng Huang, Yao Wang, Tsuhan Chen

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

Abstract

Analysis and classification of the scene content of a video sequence are very important for content-based indexing and retrieval of multimedia databases. In this paper, we report our research on using the associated audio information for video scene classification. We describe several audio features that have been fouind effective in distinguishing audio characteristics of different scene classes. Based on these features, a neural net classifier was quite successful in separating audio clips froim different TV programs.

Original languageEnglish (US)
Title of host publication1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997
EditorsYao Wang, Amy R. Reibman, B. H. Juang, Tsuhan Chen, Sun-Yuan Kung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages343-349
Number of pages7
ISBN (Electronic)0780337808, 9780780337800
DOIs
StatePublished - 1997
Event1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 - Princeton, United States
Duration: Jun 23 1997Jun 25 1997

Publication series

Name1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997

Other

Other1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997
CountryUnited States
CityPrinceton
Period6/23/976/25/97

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology

Fingerprint Dive into the research topics of 'Audio feature extraction and analysis for scene classification'. Together they form a unique fingerprint.

Cite this