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» Learning to Segment Document Images
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CVPR
2006
IEEE
15 years 11 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
86
Voted
PAMI
2002
94views more  PAMI 2002»
14 years 9 months ago
Imaged Document Text Retrieval Without OCR
: We propose a method for text retrieval from document images without the use of OCR. Documents are segmented into character objects. Image features, namely the Vertical Traverse D...
Chew Lim Tan, Weihua Huang, Zhaohui Yu, Yi Xu
ICIP
2007
IEEE
15 years 11 months ago
Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding
In this paper we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e. composed of text, graphics and pictures. Even though mixed contents (compound) docu...
Alexandre Zaghetto, Ricardo L. de Queiroz
ICDAR
1999
IEEE
15 years 1 months ago
Preattentive Reading and Selective Attention for Document Image Analysis
PixED (from Pixel to Electronic Document) is aimed at converting document images into structured electronic documents which can be read by a machine for information retrieval. The...
Claudie Faure
88
Voted
ICPR
2000
IEEE
15 years 10 months ago
Extraction of Relevant Information from Document Images Using Measures of Visual Attention
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
Gerd Maderlechner, Angela Schreyer, Peter Suda