Joint video scene segmentation and classification based on Hidden Markov Model

J. Huang, Z. Liu, Y. Wang

Research output: Contribution to conferencePaperpeer-review

Abstract

Video classification and segmentation are fundamental steps for efficient accessing, retrieving and browsing large amount of video data. We have developed a scene classification scheme using a Hidden Markov Model (HMM)-based classifier. By utilizing the temporal behaviours of different scene classes, HMM classifier can effectively classify video segments into one of the predefined scene classes. In this paper, we describe two approaches for joint video classification and segmentation based on HMM, which works by searching for the most likely class transition path utilizing the dynamic programming technique.

Original languageEnglish (US)
Pages1551-1554
Number of pages4
StatePublished - 2000
Event2000 IEEE International Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States
Duration: Jul 30 2000Aug 2 2000

Other

Other2000 IEEE International Conference on Multimedia and Expo (ICME 2000)
CountryUnited States
CityNew York, NY
Period7/30/008/2/00

ASJC Scopus subject areas

  • Engineering(all)

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