Object behavior-based indexing framework for video

Sadiye Guler; Mike Rizkalla; Michael F. Vetter

doi:10.1117/12.371228

22 November 1999 Object behavior-based indexing framework for video

Sadiye Guler, Mike Rizkalla, Michael F. Vetter

Proceedings Volume 3845, Multimedia Systems and Applications II; (1999) https://doi.org/10.1117/12.371228
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

In this paper we present a new method for indexing video data based on the descriptions of object behaviors within a scene. The behaviors of objects over time is the most important feature in a scene and make up the semantic contents of the scene. The indices generated based on these temporal features are complementary to still image features for achieving fast and efficient search and retrieval of the video contents. To provide the conceptual framework for indexing based on the object behaviors we propose an object Behavior Description Scheme (BDS) for video data. The Behavior Description Scheme is based on spatio-temporal features and the associated object behavior descriptions are directly extractable from the video data itself (and support data) facilitating automatic indexing.

Citation Download Citation

Sadiye Guler, Mike Rizkalla, and Michael F. Vetter "Object behavior-based indexing framework for video", Proc. SPIE 3845, Multimedia Systems and Applications II, (22 November 1999); https://doi.org/10.1117/12.371228

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