ICAR Research Data Repository for Knowledge Management
Visual Saliency Models for Text Detection in Real World
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Visual Saliency Models for Text Detection in Real World
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| Identifier |
https://doi.org/10.7910/DVN/27789
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| Creator |
Renwu, Gao
Seiichi, Uchida Asif, Shahab Faisal, Shafait Volkmar, Frinken |
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| Publisher |
Harvard Dataverse
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| Description |
This paper evaluates the degree of salliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is crated for this purpose. Using this scene image database and five stat-of-the-art models, visual saliency maps that represent the degree of saliency of the objects are calculated.
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| Subject |
Visual saliency
Scene text detection |
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| Date |
2014
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