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» Efficient video similarity measurement with video signature
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ICDE
2007
IEEE
137views Database» more  ICDE 2007»
15 years 11 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...
MTA
2010
116views more  MTA 2010»
14 years 8 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
ICDE
2000
IEEE
82views Database» more  ICDE 2000»
15 years 10 months ago
Similarity Search for Multidimensional Data Sequences
Time-series data, which are a series of one-dimensional real numbers, have been studied in various database applications. In this paper, we extend the traditional similarity searc...
Seok-Lyong Lee, Seok-Ju Chun, Deok-Hwan Kim, Ju-Ho...
NOSSDAV
2009
Springer
15 years 4 months ago
Fine-grained scalable streaming from coarse-grained videos
Scalable video is an attractive option for adapting the bandwidth consumption of streaming video to the available bandwidth. Fine-grained scalability can adapt most closely to the...
Pengpeng Ni, Alexander Eichhorn, Carsten Griwodz, ...
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang