Fuzzy logic system able to detect interesting areas of a video sequence

Christophe De Vleeschouwer; Xavier Marichal; Thierry Delmot; Benoit M. M. Macq

doi:10.1117/12.274518

3 June 1997 Fuzzy logic system able to detect interesting areas of a video sequence

Christophe De Vleeschouwer, Xavier Marichal, Thierry Delmot, Benoit M. M. Macq

Proceedings Volume 3016, Human Vision and Electronic Imaging II; (1997) https://doi.org/10.1117/12.274518
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

This paper introduces an automatic tool able to analyze the picture according to the semantic interest an observer attributes to its content. Its aim is to give a 'level of interest' to the distinct areas of the picture extracted by any segmentation tool. For the purpose of dealing with semantic interpretation of images, a single criterion is clearly insufficient because the human brain, due to its a priori knowledge and its huge memory of real-world concrete scenes, combines different subjective criteria in order to assess its final decision. The developed method permits such combination through a model using assumptions to express some general subjective criteria. Fuzzy logic enables the user to encode knowledge in a form that is very close the way experts think about the decision process. This fuzzy modeling is also well suited to represent multiple collaborating or even conflicting experts opinions. Actually, the assumptions are verified through a non-hierarchical strategy that considers them in a random order, each partial result contributing to the final one. Presented results prove that the tool is effective for a wide range of natural pictures. It is versatile and flexible in that it can be used stand-alone or can take into account any a priori knowledge about the scene.

Citation Download Citation

Christophe De Vleeschouwer, Xavier Marichal, Thierry Delmot, and Benoit M. M. Macq "Fuzzy logic system able to detect interesting areas of a video sequence", Proc. SPIE 3016, Human Vision and Electronic Imaging II, (3 June 1997); https://doi.org/10.1117/12.274518

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