Title :
On the segmentation of text in videos
Author :
Wernicke, Axel ; Lienhart, Rainer
Author_Institution :
Microprocessor Res. Lab., Intel Corp., Santa Clara, CA, USA
Abstract :
A new and robust multi-resolution approach of localizing and segmenting text in videos is proposed. The approach has been tested extensively on a large variety of video frame sizes such 352×240 up to 1920×1280 and a large representative set of video sequences such as home videos, newscasts, title sequences and commercials. 95% of the text bounding boxes in videos were localized correctly. 80% of all characters were segmented correctly, while 7.8% characters were damaged. 90% of the correctly segmented characters were recognized correctly by standard OCR software
Keywords :
image segmentation; image sequences; optical character recognition; video databases; OCR; commercials; home videos; multi-resolution approach; newscasts; text bounding boxes; title sequences; video frame sizes; video sequences; video text segmentation; Detectors; Educational institutions; Image edge detection; Microprocessors; Neural networks; Neurons; Pixel; Robustness; Text recognition; Video sequences;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871054
