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» Evaluating Image Retrieval
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ICPR
2006
IEEE
14 years 9 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
MIR
2006
ACM
178views Multimedia» more  MIR 2006»
14 years 1 months ago
Dual diffusion model of spreading activation for content-based image retrieval
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
ICPR
2008
IEEE
14 years 2 months ago
Interactive feature visualization for image retrieval
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
Johannes Imo, Sebastian Klenk, Gunther Heidemann
CIVR
2007
Springer
180views Image Analysis» more  CIVR 2007»
14 years 2 months ago
Probabilistic matching and resemblance evaluation of shapes in trademark images
We present a novel matching and similarity evaluation method for planar geometric shapes represented by sets of polygonal curves. Given two shapes, the matching algorithm randomly...
Helmut Alt, Ludmila Scharf, Sven Scholz