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 [BibTeX] [Marc21]
Video Text Recognition Based on Markov Random Field and Grayscale Consistency Constraint
Type of publication: Conference paper
Citation: chen-icip02
Booktitle: Int. Conf. Image Processing 2002
Year: 2002
Address: Rochester, NY, USA
Crossref: chen-0218:
Abstract: A method for segmenting and recognizing text embedded in video and images is proposed in this paper. In the method, multiple segmentation hypotheses of text image are first generated based on a MRF model. Background regions in each hypothesis are then removed by using grayscale consistency constraint (GCC) in a connected component analysis procudure before being processed by an optical character recognition (OCR) software.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Odobez, Jean-Marc
Chen, Datong
Added by: [UNK]
Total mark: 0
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