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» Using Linguistic Models for Image Retrieval
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112
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DRR
2010
15 years 4 months ago
Incorporating linguistic post-processing into whole-book recognition
We describe a technique of linguistic post-processing of whole-book recognition results. Whole-book recognition is a technique that improves recognition of book images using fully...
Pingping Xiu, Henry S. Baird
117
Voted
ACL
2010
14 years 12 months ago
Generating Image Descriptions Using Dependency Relational Patterns
This paper presents a novel approach to automatic captioning of geo-tagged images by summarizing multiple webdocuments that contain information related to an image's location...
Ahmet Aker, Robert J. Gaizauskas
111
Voted
TMM
2002
117views more  TMM 2002»
15 years 1 months ago
Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models
We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both th...
Minh N. Do, Martin Vetterli
125
Voted
SIGIR
2005
ACM
15 years 7 months ago
Linear discriminant model for information retrieval
This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate a...
Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun N...
CIVR
2007
Springer
138views Image Analysis» more  CIVR 2007»
15 years 8 months ago
SemRetriev: an ontology driven image retrieval system
This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of ...
Adrian Popescu, Pierre-Alain Moëllic, Christo...