Automatic multi-modal dialogue scene indexing

Date

2001-10-10

Author

Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Layout, Indexing, Hidden markov models, Data mining, Motion pictures, Image analysis, Face detection, Information analysis, Natural languages, Signal analysis

URI

https://hdl.handle.net/11511/55886

Conference Name

International Conference on Image Processing (ICIP 2001)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. A. Alatan, “Automatic multi-modal dialogue scene indexing,” presented at the International Conference on Image Processing (ICIP 2001), THESSALONIKI, GREECE, 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55886.