ML Anthology

Object-Based Video Indexing for Virtual Studio Productions

Bilge Günsel, A. Murat Tekalp, Peter J. L. van Beek
CVPR 1997 pp. 769-774
doi:10.1109/CVPR.1997.609413 /cvpr/1997/gunsel1997cvpr-object/

Abstract

This paper introduces an object-based approach for temporal video partitioning and content-based indexing, where the basic indexing unit is "lifespan of a video object", rather than a "camera shot" or "story unit". We propose a system to extract content-based features of video objects (VOs), based on a compact 2D triangular mesh representation of them. An adaptive mesh-based video object tracking scheme is then employed to compute the motion trajectories of all node points. A set of "key snapshots" which constitute a visual summary of the lifespan of the object are automatically selected using motion and shape information. The system provides direct access to the VOs and gives the functionalities such as object-based search, manipulation, animation, and tracking.

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Cite

Text

Günsel et al. "Object-Based Video Indexing for Virtual Studio Productions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609413

Markdown

[Günsel et al. "Object-Based Video Indexing for Virtual Studio Productions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/gunsel1997cvpr-object/) doi:10.1109/CVPR.1997.609413

BibTeX

@inproceedings{gunsel1997cvpr-object,
  title     = {{Object-Based Video Indexing for Virtual Studio Productions}},
  author    = {Günsel, Bilge and Tekalp, A. Murat and van Beek, Peter J. L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {769-774},
  doi       = {10.1109/CVPR.1997.609413},
  url       = {https://mlanthology.org/cvpr/1997/gunsel1997cvpr-object/}
}