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https://hdl.handle.net/2440/83151
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Type: | Conference paper |
Title: | Leveraging surrounding context for scene text detection |
Author: | Li, Y. Shen, C. Jia, W. Van Den Hengel, A. |
Citation: | 2013 IEEE International Conference on Image Processing, ICIP 2013 Proceedings, Melbourne, Vic., Australia, 15-18 September 2013: pp.2264-2268 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2013 |
Series/Report no.: | IEEE International Conference on Image Processing ICIP |
ISBN: | 9781479923410 |
ISSN: | 1522-4880 |
Conference Name: | International Conference on Image Processing (20th : 2013 : Melbourne, Australia) |
Statement of Responsibility: | Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel |
Abstract: | Finding text in natural images has been a challenging task in vision. At the core of state-of-the-art scene text detection algorithms are a set of text-specific features within extracted regions. In this paper, we attempt to solve this problem from a different prospective. We show that characters and non-character interferences are separable by leveraging the surrounding context. Surrounding context, in our work, is composed of two components which are computed in an information-theoretic fashion. Minimization of an energy cost function yields a binary label for each region, which indicates the category it belongs to. The proposed algorithm is fast, discriminative and tolerant to character variations and involves minimal parameter tuning. |
Keywords: | Surrounding context, energy minimization, scene text detection |
Rights: | © 2013 IEEE |
DOI: | 10.1109/ICIP.2013.6738467 |
Published version: | http://dx.doi.org/10.1109/icip.2013.6738467 |
Appears in Collections: | Aurora harvest Computer Science publications |
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