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» Document Retrieval Using SIFT Image Features
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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
15 years 11 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 11 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
ICDAR
2003
IEEE
15 years 10 months ago
Shape Matching Using GAT Correlation against Nonlinear Distortion and its Application to Handwritten Numeral Recognition
This paper addresses the problem of to what extent linear transformation can alleviate nonlinear distortion. We investigate a technique of global affine transformation (GAT) corre...
Toru Wakahara
ECIR
1998
Springer
15 years 6 months ago
User-Chosen Phrases in Interactive Query Formulation for Information Retrieval
The impact of using phrases as content representation for documents and for queries has generally been accepted as a desirable feature in information retrieval systems because phr...
Alan F. Smeaton, Fergus Kelledy
ICDAR
2003
IEEE
15 years 10 months ago
A Contour Code Feature Based Segmentation For Handwriting Recognition
The purpose of this paper is to present a novel contour code feature in conjunction with a rule based segmentation for cursive handwriting recognition. A heuristic segmentation al...
Brijesh Verma