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IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
DSS
2006
129views more  DSS 2006»
13 years 7 months ago
A new approach to classification based on association rule mining
Classification is one of the key issues in the fields of decision sciences and knowledge discovery. This paper presents a new approach for constructing a classifier, based on an e...
Guoqing Chen, Hongyan Liu, Lan Yu, Qiang Wei, Xing...
ICPR
2004
IEEE
14 years 8 months ago
A Wrapper-Based Approach to Image Segmentation and Classification
The traditional processing flow of segmentation followed by classification in computer vision assumes that the segmentation is able to successfully extract the object of interest....
Anil K. Jain, Michael E. Farmer
AMR
2003
Springer
139views Multimedia» more  AMR 2003»
14 years 23 days ago
Intelligent Visual Descriptor Extraction from Video Sequences
Abstract. Extraction of visual descriptors is a crucial problem for stateof-the-art visual information analysis. In this paper, we present a knowledgebased approach for detection o...
Paraskevi K. Tzouveli, Georgios Andreou, Gabriel T...
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
14 years 1 months ago
Ontology-Driven Semantic Video Analysis Using Visual Information Objects
In this paper, an ontology-driven approach for the semantic analysis of video is proposed. This approach builds on an ontology infrastructure and in particular a multimedia ontolog...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...