PublisherIEEE Press. Institute of Electrical and Electronics Engineers
Rights accessOpen Access
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.
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