Object-based video indexing for virtual-studio productions
Gunsel, B.
Tekalp, A.M.
van Beek, P.J.L.
Dept. of Electr. Eng., Rochester Univ., NY;
This paper appears in: Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Publication Date: 17-19 Jun 1997
On page(s): 769-774
Meeting Date: 06/17/1997 - 06/19/1997
Location: San Juan, Puerto Rico
ISBN: 0-8186-7822-4
References Cited: 15
INSPEC Accession Number: 5644245
Digital Object Identifier: 10.1109/CVPR.1997.609413
Current Version Published: 2002-08-06
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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