Caption text extraction for indexing purposes using a hierarchical region-based image model
Document typeConference lecture
Rights accessOpen Access
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.