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» Image Retrieval using Long-Term Semantic Learning
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ICMCS
2008
IEEE
120views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Using Semantic Graphs for Image Search
In this paper, we propose a Semantic Graphs for Image Search (SGIS) system, which provides a novel way for image search by utilizing collaborative knowledge in Wikipedia and netwo...
Jyh-Ren Shieh, Yang-Ting Yeh, Chih-Hung Lin, Ching...
CVPR
2004
IEEE
13 years 11 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
ICCV
2007
IEEE
14 years 9 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
COOPIS
2004
IEEE
13 years 11 months ago
Ontology for Nature-Scene Image Retrieval
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology ...
Song Liu, Liang-Tien Chia, Syin Chan
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
14 years 1 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