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DICTA
2003
15 years 5 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
MVA
2008
201views Computer Vision» more  MVA 2008»
15 years 4 months ago
How close are we to solving the problem of automated visual surveillance?
The problem of automated visual surveillance has spawned a lively research area, with 2005 seeing three conferences or workshops and special issues of two major journals devoted to...
Hannah M. Dee, Sergio A. Velastin
DASFAA
2007
IEEE
297views Database» more  DASFAA 2007»
15 years 10 months ago
OLYBIA: Ontology-Based Automatic Image Annotation System Using Semantic Inference Rules
One of the big issues facing current content-based image retrieval is how to automatically extract the high-level concepts from images. In this paper, we present an efficient syste...
Kyung-Wook Park, Jin-Woo Jeong, Dong-Ho Lee
ICMCS
2007
IEEE
140views Multimedia» more  ICMCS 2007»
15 years 10 months ago
Suspicious Behavior Detection in Public Transport by Fusion of Low-Level Video Descriptors
Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger’s behaviors with a set o...
Dejan Arsic, Björn Schuller, Gerhard Rigoll
BVAI
2007
Springer
15 years 8 months ago
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features
Abstract. The aim of this paper is to introduce a novel, biologically inspired approach to extract visual features relevant for controlling and understanding reachto-grasp actions....
Roberto Prevete, Matteo Santoro, Ezio Catanzariti,...