Title :
Text detection for video analysis
Author :
Agnihotri, Lalitha ; Dimitrova, Nevenka
Author_Institution :
Philips Res., Briarcliff Manor, NY, USA
Abstract :
Textual information brings important semantic clues in video content analysis. We describe a method for detection and representation of text in video segments. The method consists of seven steps: channel separation, image enhancement, edge detection, edge filtering, character detection, text box detection, and text line detection. Our results show that this method can be applied to English as well as non-English text (such as Korean) with precision and recall of 85%
Keywords :
content-based retrieval; edge detection; image enhancement; text analysis; video signal processing; English text; Korean; channel separation; character detection; edge detection; edge filtering; image enhancement; non-English text; semantic clues; text box detection; text detection; text line detection; text representation; textual information; video content analysis; Data mining; Filtering; Image edge detection; Image segmentation; Information retrieval; Layout; Stock markets; Text recognition; Video sequences; Web sites;
Conference_Titel :
Content-Based Access of Image and Video Libraries, 1999. (CBAIVL '99) Proceedings. IEEE Workshop on
Conference_Location :
Fort Collins, CO
Print_ISBN :
0-7695-0034-X
DOI :
10.1109/IVL.1999.781133
