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This paper proposes an automatic semantic video content indexing and retrieval system based on fusing various low level visual and shape descriptors. Extracted features from region and sub-image blocks segmentation of video shots key-frames are described via IVSM signature (Image Vector Space Model) in order to have a compact and efficient description of the content. Static feature fusion based on...
We seek to establish a quality metric for sensor fused video based on the performance of a multisensor system that actively tracks multiple surface targets over an extended field of regard Such a system must, in real-time, fuse multisensor/spectral imagery, detect targets reliably, track the targets for extended time periods as they move, stop, approach, cross, hide/emerge, over an extended field...
In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments. In this paper, we describe how domain knowledge can be encoded through OWL ontologies and SWRL rules in order to reason about the entities and...
Advances in fusion of multi-sensor inputs have necessitated the creation of more sophisticated fused image assessment techniques. The current work extends previous studies investigating participant accuracy in tracking individuals in a video sequence. Participants were shown visible and IR videos individually and the two video inputs side-by-side, as well as averaged, discrete wavelet transform, and...
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