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MM
2009
ACM
185views Multimedia» more  MM 2009»
15 years 3 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ICDE
2007
IEEE
175views Database» more  ICDE 2007»
15 years 10 months ago
Dynamic Batch Nearest Neighbor Search in Video Retrieval
To retrieve similar database videos to a query clip, each video is typically represented by a sequence of highdimensional feature vectors. Given a query video containing m feature...
Jie Shao, Zi Huang, Heng Tao Shen, Xiaofang Zhou, ...
WWW
2006
ACM
15 years 10 months ago
Image annotation using search and mining technologies
In this paper, we present a novel solution to the image annotation problem which annotates images using search and data mining technologies. An accurate keyword is required to ini...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma
ICDE
2000
IEEE
168views Database» more  ICDE 2000»
15 years 10 months ago
PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Paolo Ciaccia, Marco Patella
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
15 years 10 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...