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.
CitacióLeon, 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.