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111
Voted
MTA
2010
116views more  MTA 2010»
15 years 2 months ago
Performing content-based retrieval of humans using gait biometrics
In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...
Sina Samangooei, Mark S. Nixon
137
Voted
ICDE
2010
IEEE
174views Database» more  ICDE 2010»
15 years 1 months ago
Semantic flooding: Search over semantic links
Abstract-- Classification hierarchies are trees where links codify the fact that a node lower in the hierarchy contains documents whose contents are more specific than those one le...
Fausto Giunchiglia, Uladzimir Kharkevich, Alethia ...
144
Voted
CVPR
2007
IEEE
16 years 5 months ago
City-Scale Location Recognition
We look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3...
Grant Schindler, Matthew Brown, Richard Szeliski
239
Voted
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
16 years 5 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
216
Voted
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
16 years 5 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler