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A genetic algorithm-based approach to knowledge-assisted video analysis

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6 Author(s)
Voisine, N. ; Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece ; Dasiopoulou, S. ; Precioso, F. ; Mezaris, V.
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Efficient video content management and exploitation requires extraction of the underlying semantics, a non-trivial task associating low-level features of the image domain and high-level semantic descriptions. In this paper, a knowledge-assisted approach for extracting semantics of domain-specific video content is presented. Domain knowledge considers both low-level features (color, motion, shape) and spatial behavior (topological and directional information). During the preprocessing step, a set of over-segmented homogenous atom-regions is generated and their low-level and spatial descriptions are extracted. A genetic algorithm is then applied in order to find the optimal interpretation according to a specific domain conceptualization. The proposed approach was tested on the formula one, tennis and beach vacations domains showing promising results.

Published in:

Image Processing, 2005. ICIP 2005. IEEE International Conference on  (Volume:3 )

Date of Conference:

11-14 Sept. 2005