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» Unsupervised Image Layout Extraction
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ICPR
2000
IEEE
14 years 9 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
ICIP
2005
IEEE
14 years 2 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
CVPR
2012
IEEE
11 years 11 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ICDAR
2005
IEEE
14 years 2 months ago
Enhancement of Layout-based Identification of Low-resolution Documents using Geometrical Color Distribution
This paper proposes a multi-signature document identification method that works robustly with lowresolution documents captured from handheld devices. The proposed method is based ...
Ardhendu Behera, Denis Lalanne, Rolf Ingold
ICPR
2000
IEEE
14 years 1 months ago
Diatom Contour Analysis Using Morphological Curvature Scale Spaces
A method for shape analysis of diatoms (single-cell algae with silica shells) based on extraction of features on the contour of the cells by multi-scale mathematical morphology is...
Michael H. F. Wilkinson, Jos B. T. M. Roerdink, St...