Hierarchical temporal video segmentation and content characterization

Bilge Günsel*, Yue Fu, A. Murat Tekalp

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

15 Citations (Scopus)


This paper addresses the segmentation of a video sequence into shots, specification of edit effects and subsequent characterization of shots in terms of color and motion content. The proposed scheme uses DC images extracted from MPEG compressed video and performs an unsupervised clustering for the extraction of camera shots. The specification of edit effects, such as fade-in/out and dissolve is based on the analysis of distribution of mean value for the luminance components. This step is followed by the representation of visual content of temporal segments in terms of key frames selected by similarity analysis of mean color histograms. For characterization of the similar temporal segments, motion and color characteristics are classified into different categories using a set of different features derived from motion vectors of triangular meshes and mean histograms of video shots.

Original languageEnglish
Pages (from-to)46-56
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1997
Externally publishedYes
EventMultimedia Storage and Archiving Systems II - Dallas, TX, United States
Duration: 3 Nov 19973 Nov 1997


  • Content characterization
  • Content-based access
  • Edit effects
  • Shot detection
  • Video databases


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