Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/83151
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DC Field | Value | Language |
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dc.contributor.author | Li, Y. | - |
dc.contributor.author | Shen, C. | - |
dc.contributor.author | Jia, W. | - |
dc.contributor.author | Van Den Hengel, A. | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | 2013 IEEE International Conference on Image Processing, ICIP 2013 Proceedings, Melbourne, Vic., Australia, 15-18 September 2013: pp.2264-2268 | - |
dc.identifier.isbn | 9781479923410 | - |
dc.identifier.issn | 1522-4880 | - |
dc.identifier.uri | http://hdl.handle.net/2440/83151 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.relation.ispartofseries | IEEE International Conference on Image Processing ICIP | - |
dc.rights | © 2013 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/icip.2013.6738467 | - |
dc.subject | Surrounding context, energy minimization, scene text detection | - |
dc.title | Leveraging surrounding context for scene text detection | - |
dc.type | Conference paper | - |
dc.contributor.conference | International Conference on Image Processing (20th : 2013 : Melbourne, Australia) | - |
dc.identifier.doi | 10.1109/ICIP.2013.6738467 | - |
dc.publisher.place | USA | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Van Den Hengel, A. [0000-0003-3027-8364] | - |
Appears in Collections: | Aurora harvest Computer Science publications |
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