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 [BibTeX] [Marc21]
Video Shot Clustering using Spectral Methods
Type of publication: Conference paper
Citation: odobez-CBMI-03
Booktitle: 3rd Workshop on Content-Based Multimedia Indexing (CBMI)
Year: 2003
Address: Rennes, France
Abstract: The automatic segmentation and structuring of videos present technical challenges due to the large variation of content, spatial layout, and possible lack of storyline. In this paper, we propose a spectral method to group video shots into scenes based on their visual similarity and temporal relations. Spectral methods have been shown to be effective in capturing perceptual organization features. In particular, we investigate the problem of automatic model selection, which is currently an open research issue for spectral methods, and propose measures to assess the validity of a grouping result. The methodology is used to group shots from home videos and soccer games. The results indicate the validity of the proposed approach, both compared to existing techniques as well as to human performance.
Userfields: ipdinar={2003}, ipdmembership={vision},
Keywords:
Projects Idiap
Authors Odobez, Jean-Marc
Gatica-Perez, Daniel
Guillemot, Maƫl
Added by: [UNK]
Total mark: 0
Attachments
  • odobez_2003_cbmi.pdf
  • odobez_2003_cbmi.ps.gz
Notes