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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 8 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
EVENT
2001
202views more  EVENT 2001»
13 years 9 months ago
Detecting Independently Moving Objects and Their Interactions in Georeferenced Airborne Video
In airborne video, objects are tracked from a moving camera and often imaged at very low resolution. The camera movement makes it difficult to determine whether or not an object i...
J. Brian Burns
ICMCS
2009
IEEE
180views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Foreground segmentation for static video via multi-core and multi-modal graph cut
We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional...
Lun-Yu Chang, Winston H. Hsu
CN
2007
74views more  CN 2007»
13 years 7 months ago
SSVP: A congestion control scheme for real-time video streaming
In this paper, we present a new end-to-end protocol, namely Scalable Streaming Video Protocol (SSVP), which operates on top of UDP and is optimized for unicast video streaming app...
Panagiotis Papadimitriou, Vassilis Tsaoussidis
CVPR
2005
IEEE
14 years 9 months ago
Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams
We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a represen...
Raffay Hamid, Amos Y. Johnson, Samir Batta, Aaron ...