Paper Info
Title
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 that allows users and computing systems to meet in the middle. We first outline the vision of the system that we are working towards. We then describe initial experiments that we have conducted using a functional component of the system applied to real-world video data that is being collected by intelligent transportation systems researchers.
Year
DOI
Venue
2013
10.1145/2460782.2460790
NOSSDAV
Keywords
Field
DocType
sensor network,video-based sensor network,intelligent transportation systems researcher,video sensor,video data,functional component,initial experiment,semantic gap,computing system,user interfaces,data fusion
Video sensors,Computer science,Bridging (networking),Semantic gap,Sensor fusion,Intelligent transportation system,User interface,Wireless sensor network,Multimedia,Computing systems
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
4
Name
Order
Citations
PageRank
wuchi feng11161113.41
Khanh Nguyen212810.39
Feng Liu319914.78
thanh dang4698.93