K
Keechul Jung
Researcher at Soongsil University
Publications - 145
Citations - 4468
Keechul Jung is an academic researcher from Soongsil University. The author has contributed to research in topics: Image segmentation & Gesture recognition. The author has an hindex of 21, co-authored 145 publications receiving 4255 citations. Previous affiliations of Keechul Jung include College of Information Technology & Kyungpook National University.
Papers
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Text information extraction in images and video: a survey
TL;DR: A large number of techniques to address the problem of text information extraction are classified and reviewed, benchmark data and performance evaluation are discussed, and promising directions for future research are pointed out.
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Face recognition using kernel principal component analysis
TL;DR: Through adopting a polynomial kernel, the principal components can be computed within the space spanned by high-order correlations of input pixels making up a facial image, thereby producing a good performance.
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Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
TL;DR: The combination of CAMSHIFT and SVMs produces both robust and efficient text detection, as time-consuming texture analyses for less relevant pixels are restricted, leaving only a small part of the input image to be texture-analyzed.
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GPU implementation of neural networks
Kyoungsu Oh,Keechul Jung +1 more
TL;DR: In this paper, the authors implemented the matrix multiplication of a neural network to enhance the time performance of a text detection system using an ATI RADEON 9700 PRO board, which produced a 20-fold performance enhancement.
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Support vector machines for texture classification
TL;DR: Experimental results demonstrate the effectiveness of SVMs in texture classification, and it is shown that SVMs can incorporate conventional texture feature extraction methods within their own architecture, while also providing solutions to problems inherent in these methods.