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» Using High-Level Semantic Features in Video Retrieval
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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
15 years 2 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
15 years 3 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
2006
Springer
126views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi
ICMCS
2005
IEEE
110views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Combining Caption and Visual Features for Semantic Event Classification of Baseball Video
In baseball game, an event is defined as the portion of video clip between two pitches, and a play is defined as a batter finishing his plate appearance. A play is a concatenation...
Wen-Nung Lie, Sheng-Hsiung Shia
IUI
2010
ACM
15 years 2 months ago
A multi faceted recommendation approach for explorative video retrieval tasks
In this paper we examine the use of multi faceted recommendations to aid users while carrying out exploratory video retrieval tasks. These recommendations are integrated into ViGO...
David Vallet, Martin Halvey, David Hannah, Joemon ...