Automatic shot change detection algorithm using multi-stage clustering for MPEG-compressed videos

Cited 12 time in webofscience Cited 0 time in scopus
  • Hit : 239
  • Download : 0
Automatic shot change detection has been recognized as an important research issue for video classification. This paper proposes an automatic clustering-based algorithm for shot change detection in MPEG-compressed videos with a small number of user-defined parameters. For accurate detection of abrupt and gradual shot changes, the proper selection and extraction of features are important. We first propose a fast edge image extraction scheme in the DCT domain on the basis of AC prediction. Then, by using the features extracted from the edge images and DC images, a two-stage clustering-based algorithm is proposed for shot change detection. In the first stage, the algorithm detects abrupt shot changes by employing two-means clustering on the 2-D feature space of histogram and pixel differences between two neighboring DC frames. In the next stage, it subsequently explores gradual shot changes between two adjacent abrupt shot changes by performing a two-step clustering scheme, which uses multiple features such as an edge energy diagram and several frame difference measures. Simulation results show that the proposed algorithm is fast and accurate. (C) 2001 Academic Press.
Publisher
ACADEMIC PRESS INC
Issue Date
2001-09
Language
English
Article Type
Article
Citation

JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.12, no.3, pp.364 - 385

ISSN
1047-3203
URI
http://hdl.handle.net/10203/83689
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 12 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0