Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Translation camera on mobile phone
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
TV ad video categorization with probabilistic latent concept learning
Proceedings of the international workshop on Workshop on multimedia information retrieval
Color-based clustering for text detection and extraction in image
Proceedings of the 15th international conference on Multimedia
Extracting text information for content-based video retrieval
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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In this paper we present a novel framework of automatic text discovering for content-based multimedia application. For single image, the stroke-based binarization and the coarse-to-fine text extraction will collaborate to generate a clean text image for recognition. For image sequence, multi-frame text enhancement is adopted to increase the text/background contrast, and the recognition results are finally refined by the text string combination algorithm to get more precise semantic information. Two prototype demos have been successfully developed on mobile phones. The experimental results on different platforms show the superior performance of the proposed method.