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Region-based caption text extraction

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hdl:2117/12623

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León Cristóbal, Míriam
Vilaplana Besler, VerónicaMés informacióMés informacióMés informació
Gasull Llampallas, AntoniMés informacióMés informació
Marqués Acosta, FernandoMés informacióMés informacióMés informació
Document typeConference report
Defense date2010
PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
This paper presents a method for caption text detection. The proposed method will be included in a generic indexing system dealing with other semantic concepts which are to be automatically detected as well. To have a coherent detection system, the various object detection algorithms use a common image description. In our framework, the image description is a hierarchical region-based image model. The proposed method takes advantage of texture and geometric features to detect the caption text. Texture features are estimated using wavelet analysis and mainly applied for Text candidate spotting. In turn, Text characteristics verification is basically carry out relying on geometric features, which are estimated exploiting the region-based image model. Analysis of the region hierarchy provides the final caption text objects. The final step of Consistency analysis for output is performed by a binarization algorithm that robustly estimates the thresholds on the caption text area of support.
CitationLeon, M. [et al.]. Region-based caption text extraction. A: International Workshop on Image Analysis for Multimedia Application Services. "11th. International Workshop on Image Analysis for Multimedia Application Services". Desenzano del Garda: IEEE Press. Institute of Electrical and Electronics Engineers, 2010, p. 1-4. 
URIhttp://hdl.handle.net/2117/12623
Publisher versionhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5608542
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