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» Document Image Retrieval with Local Feature Sequences
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106
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ICIP
2009
IEEE
16 years 4 months ago
Boosting Object Retrieval By Estimating Pseudo-objects
State-of-the-art object retrieval systems are mostly based on the bag-of-visual-words representation which encodes local appearance information of an image in a feature vector. A ...
145
Voted
SPIESR
2001
164views Database» more  SPIESR 2001»
15 years 5 months ago
Content-based image retrieval using wavelet-based salient points
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing t...
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia...
289
Voted
ICDAR
2009
IEEE
15 years 1 months ago
Shape Descriptor Based Document Image Indexing and Symbol Recognition
In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern base...
Ehtesham Hassan, Santanu Chaudhury, M. Gopal
115
Voted
ICDAR
2009
IEEE
15 years 10 months ago
Locally Developable Constraint for Document Surface Reconstruction
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restric...
Yuanlong Shao, Xinguo Liu, Xueying Qin, Yi Xu, Huj...
138
Voted
CBMS
2009
IEEE
15 years 10 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...