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Caption text extraction for indexing purposes using a hierarchical region-based image model

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10.1109/ICIP.2009.5413607
 
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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 lecture
Defense date2010-02-17
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This paper presents a technique for detecting caption text for indexing purposes. This technique is to be included in a generic indexing system dealing with other semantic concepts. The various object detection algorithms are required to share a common image description which, in our case, is a hierarchical region-based image model. Caption text objects are detected combining texture and geometric features, which are estimated using wavelet analysis and taking advantage of the region-based image model, respectively. Analysis of the region hierarchy provides the final caption text objects.
CitationLeon, M. [et al.]. Caption text extraction for indexing purposes using a hierarchical region-based image model. A: International Conference on Image Processing. "16th International Conference on Image Processing". 2009, p. 1869-1872. 
URIhttp://hdl.handle.net/2117/7940
DOI10.1109/ICIP.2009.5413607
ISBN978-1-4244-5655-0
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  • GPI - Grup de Processament d'Imatge i Vídeo - Ponències/Comunicacions de congressos [317]
  • Departament de Teoria del Senyal i Comunicacions - Ponències/Comunicacions de congressos [3.263]
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