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» The Inner Structure of Database for the CBIR System
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ICCV
2007
IEEE
14 years 8 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
ICIP
1999
IEEE
14 years 7 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
ICARCV
2002
IEEE
116views Robotics» more  ICARCV 2002»
13 years 11 months ago
Content-based image retrieval in surface inspection
In this paper a prototype system is described for the management and content-based retrieval of defect images in huge image databases. This is a real problem in surface inspection...
Jukka Iivarinen, Jussi Pakkanen, Juhani Rauhamaa
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
13 years 12 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu
DATE
1999
IEEE
162views Hardware» more  DATE 1999»
13 years 10 months ago
MOCSYN: Multiobjective Core-Based Single-Chip System Synthesis
In this paper, we present a system synthesis algorithm, called MOCSYN, which partitions and schedules embedded system specifications to intellectual property cores in an integrate...
Robert P. Dick, Niraj K. Jha