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» Using Linguistic Models for Image Retrieval
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ICIP
2008
IEEE
14 years 9 months ago
Image retrieval and classification using associative reciprocal-image attractors
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...
Douglas S. Greer, Mihran Tuceryan
EDBTW
2006
Springer
13 years 11 months ago
Implementing a Linguistic Query Language for Historic Texts
Abstract. We describe design and implementation of the linguistic query language DDDquery. This language aims at querying a large linguistic database storing a corpus of richly ann...
Lukas Faulstich, Ulf Leser, Thorsten Vitt
VISUAL
2005
Springer
14 years 1 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
ANLP
1994
103views more  ANLP 1994»
13 years 9 months ago
Exploiting Sophisticated Representations for Document Retrieval
The use of NLP techniques for document classification has not produced significant improvements in performance within the standard term weighting statistical assignment paradigm (...
Steven Finch
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 9 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka