Automatic multi-modal dialogue scene indexing


Alatan A.

International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece, 7 - 10 October 2001, pp.374-377 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • City: Thessaloniki
  • Country: Greece
  • Page Numbers: pp.374-377

Abstract

An automatic algorithm for indexing dialogue scenes in multimedia content is proposed The content is segmented into dialogue scenes using the state transitions of a hidden Markov model (HMM) Each shot is classified using both audio and visual information to determine the state/scene transitions for this model Face detection and silence/speech/music classification are the basic tools which are utilized to index the scenes While face information is extracted after applying some heuristics to skin-colored regions, audio analysis is achieved by examining signal energy, periodicity and zero crossing rate (ZCR) of the audio waveform The simulation results show the possibility of automatically indexing the dialogues using the proposed algorithm.