Details

Autor(en) / Beteiligte

• Garain, U.
• Datta, A.K.
• Bhattacharya, U.
• Parui, S.K.

Titel

Summarization of JBIG2 Compressed Indian Language Textual Images

Ist Teil von

• 18th International Conference on Pattern Recognition (ICPR'06), 2006, Vol.3, p.344-347

Ort / Verlag

IEEE

Erscheinungsjahr

2006

Quelle

IEEE Xplore

Beschreibungen/Notizen

• This paper presents a method for automatic summarization of JBIG2 coded textual images without optical character recognition (OCR). Compressed images are partially (less than 10% of the uncompressed image size) decompressed and text lines and words are marked. A few features are computed at each sentence level. Based on the feature values sentences are then marked as a summary sentence or not. The system finally generates a set of sentences as summary. In addition, sentences are ranked within the summary. Experiment considers Indian language text images. Test results show a sentence selection efficiency of about 56% when judged against summarization generated by human. A nonparametric (distribution-free) rank statistic shows a correlation coefficient of 0.28 as a measure of the (minimum) strength of the associations between sentence ranking by machine and human