Detection of Gradual Transitions Through Temporal Slice Analysis

Chong-Wah Ngo, Ting-Chuen Pong, Roland T. Chin

CVPR 1999 pp. 1036-1041

doi:10.1109/CVPR.1999.786914 /cvpr/1999/ngo1999cvpr-detection/

Abstract

In this paper, we present approaches for detecting camera cuts, wipes and dissolves based on the analysis of spatio-temporal slices obtained from videos. These slices are composed of spatially and temporally coherent regions which can be perceived as shots. In the proposed methods, camera breaks are located by performing color-texture segmentation and statistical analysis on these video slices. In addition to detecting camera breaks, our methods can classify the detected breaks as camera cuts, wipes and dissolves in an efficient manner.

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Text

Ngo et al. "Detection of Gradual Transitions Through Temporal Slice Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.786914

Markdown

[Ngo et al. "Detection of Gradual Transitions Through Temporal Slice Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/ngo1999cvpr-detection/) doi:10.1109/CVPR.1999.786914

BibTeX

@inproceedings{ngo1999cvpr-detection,
  title     = {{Detection of Gradual Transitions Through Temporal Slice Analysis}},
  author    = {Ngo, Chong-Wah and Pong, Ting-Chuen and Chin, Roland T.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1999},
  pages     = {1036-1041},
  doi       = {10.1109/CVPR.1999.786914},
  url       = {https://mlanthology.org/cvpr/1999/ngo1999cvpr-detection/}
}