Addressing the semantic gap between video sensors and applications

Abstract

In this paper, we propose a framework to support the bridging of applications and computer-vision based sensor networks. We argue that the semantic gap, the difference between the data collected in a sensor network and the information needed by the application, in video-based sensor networks can only be addressed by providing systems support in such a way… (More)
DOI: 10.1145/2460782.2460790

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Cite this paper

@inproceedings{Feng2013AddressingTS, title={Addressing the semantic gap between video sensors and applications}, author={Wu-chi Feng and Khanh Nguyen and Feng Liu and Thanh Dang}, booktitle={NOSSDAV}, year={2013} }