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

Authors:
Miriam Leon;Veronica Vilaplana;Antoni Gasull;Ferran Marques
Affiliations:
Technical University of Catalonia, Barcelona, Spain;Technical University of Catalonia, Barcelona, Spain;Technical University of Catalonia, Barcelona, Spain;Technical University of Catalonia, Barcelona, Spain
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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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.