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Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)
Text Segmentatio Analysis Wiemer-Hastings
2015/9/1
Choi, Wiemer-Hastings, and Moore (2001) proposed to use Latent Semantic Analysis (LSA) to
extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation
algorithm. B...
A Critique and Improvement of an Evaluation Metric for Text Segmentation
Critique and Improvement Evaluation Metric Text Segmentation
2015/8/27
The Pk evaluation metric, initially proposed by Beeferman, Berger, and Lafferty (1997), is becoming the standard measure for assessing text segmentation algorithms. However, a theoretical analysis of ...
In this paper, we present a hybrid text segmentation approach for embedded text in images, aiming to combining the advantages of the difference-based methods and the similarity-based methods together....
In this paper, we present a hybrid text segmentation approach for embedded text in images, aiming to combining the advantages of the difference-based methods and the similarity-based methods together....
Multi-Polarity Text Segmentation Using Graph Theroy
Multi-Polarity Text Segmentation Graph Theroy
2010/12/17
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties i...
MULTI-POLARITY TEXT SEGMENTATION USING GRAPH THEORY
Text processing Image segmentation Graph theory
2013/7/17
Text segmentation, or named text binarization, is usually an essential step for text information extraction from images and videos. However, most existing text segmentation methods have difficulties i...
A Robust Split-and-Merge Text Segmentation Approach for Images
Split-and-Merge Text Segmentation Approach Images
2010/12/16
In this paper we describe a robust approach to segment text from color images. The proposed
approach mainly includes four steps. Firstly, a preprocessing step is utilized to enhance text blocks in im...
A Robust Text Segmentation Approach in Complex Background Based on Multiple Constraints
Text Segmentation Approach Complex Background Multiple Constraints
2010/12/15
In this paper we propose a robust text segmentation method in complex background. The proposed method first utilizes the K-means algorithm to decompose a detected text block into different binary imag...
Automatic Text Segmentation from Complex Background
Automatic Text Segmentation Complex Background
2010/12/14
In this paper, we proposed an automatic method to segment text from complex background for recognition
task. First, a rule-based sampling method is proposed to get portion of the text pixels. Then, t...