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» Document Image Retrieval with Local Feature Sequences
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ERCIMDL
1997
Springer
130views Education» more  ERCIMDL 1997»
15 years 1 months ago
Modelling the Retrieval of Structured Documents Containing Texts and Images
Abstract. We present a model for complex documents possibly consisting of a hierarchically structured set of images or texts. Documents are represented both at the form level (as s...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
ICDAR
2007
IEEE
15 years 3 months ago
A Proposition of Retrieval Tools for Historical Document Images Libraries
In this article, we propose a method of characterization of pictures of old documents based on a texture approach. This characterization is carried out with the help of a multires...
Nicholas Journet, Jean-Yves Ramel, Rémy Mul...
69
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MIR
2006
ACM
132views Multimedia» more  MIR 2006»
15 years 3 months ago
Retrieval of Ottoman documents
There is a growing need to access historical Ottoman documents stored in large archives and therefore managing tools for automatic searching, indexing and transcription of these d...
Esra Ataer, Pinar Duygulu
BMVC
2001
15 years 1 hour ago
Salient Points for Content-Based Retrieval
In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows ...
Nicu Sebe, Michael S. Lew
ICPR
2000
IEEE
15 years 10 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai