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» Document Retrieval Using SIFT Image Features
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130
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ICMCS
2006
IEEE
189views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Multiscale Edge-Based Text Extraction from Complex Images
Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a ...
Xiaoqing Liu, Jagath Samarabandu
155
Voted
ICASSP
2007
IEEE
15 years 9 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
ICDAR
1997
IEEE
15 years 6 months ago
Representing OCRed documents in HTML
ABSTRACT: OCR is an error-prone process. It is time-consuming and expensive to manually proofread OCR results. The errors remaining in OCRed texts can cause serious problems in rea...
Tao Hong, Sargur N. Srihari
VIP
2003
15 years 3 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
143
Voted
CBMS
2006
IEEE
15 years 8 months ago
Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study
Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the cluster...
Illhoi Yoo, Xiaohua Hu