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» Modeling Semantic Aspects for Cross-Media Image Indexing
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ICPR
2006
IEEE
14 years 8 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
DICTA
2009
13 years 8 months ago
Semantic Image Retrieval Using Region Based Inverted File
Image data is as common as textual data in this digital world. There is an urgent demand of image management tools as efficient as those text search engines. Decades of research on...
Dengsheng Zhang, Md. Monirul Islam, Guojun Lu, Jin...
CIKM
2006
Springer
13 years 11 months ago
IR principles for content-based indexing and retrieval of functional brain images
In this paper, we explore the concept of a "library of brain images", which implies not only a repository of brain images, but also efficient search and retrieval mechan...
Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah ...
ICCV
2005
IEEE
14 years 9 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
CIVR
2007
Springer
104views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Semantic facets: an in-depth analysis of a semantic image retrieval system
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set fro...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...