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ICPR
2002
IEEE
13 years 9 months ago
Detecting Automobiles and People for Semantic Video Retrieval
This paper describes a method for detecting automobiles and people in streaming or archived video. Our video object tracking system is based on Kalman filter updating of an active...
Rene Visser, Nicu Sebe, Michael S. Lew
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
13 years 10 months ago
Semantic representation: search and mining of multimedia content
Semantic understanding of multimedia content is critical in enabling effective access to all forms of digital media data. By making large media repositories searchable, semantic ...
Apostol Natsev, Milind R. Naphade, John R. Smith
SCIA
2009
Springer
130views Image Analysis» more  SCIA 2009»
13 years 11 months ago
Improving Automatic Video Retrieval with Semantic Concept Detection
We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, w...
Markus Koskela, Mats Sjöberg, Jorma Laaksonen
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
13 years 10 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
CIVR
2007
Springer
158views Image Analysis» more  CIVR 2007»
13 years 8 months ago
How many high-level concepts will fill the semantic gap in news video retrieval?
A number of researchers have been building high-level semantic concept detectors such as outdoors, face, building, etc., to help with semantic video retrieval. Using the TRECVID v...
Alexander G. Hauptmann, Rong Yan, Wei-Hao Lin