NAACL
2010
13 years 2 months ago
2010
With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the probl...
ADHOCNETS
2010
Springer
13 years 2 months ago
2010
Springer
Event detection is a central component in numerous wireless sensor network (WSN) applications. In spite of this, the area of event description has not received enough attention. Th...
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Ben Benfold is a member the Active Vision Group, part of the broader Robotics Resarch Group at Oxford University's Department of Engineering Science. He is a computer vision resear...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
IJON
2010
13 years 3 months ago
2010
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
TKDE
2008
13 years 4 months ago
2008
Event detection is a crucial task for wireless sensor network applications, especially environment monitoring. Existing approaches for event detection are mainly based on some pred...
AI
2007
Springer
13 years 4 months ago
2007
Springer
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We study the problem of event detection from realistic videos with repetitive sequential human activities. Despite the large body of work on event detection and recognition, very ...
MOBIDE
2010
ACM
13 years 4 months ago
2010
ACM
Complex event detection over data streams has become ubiquitous through the widespread use of sensors, wireless connectivity and the wide variety of end-user mobile devices. Typic...
DAGSTUHL
2003
13 years 6 months ago
2003
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...