Title :
Automatic text tracking in digital videos
Author :
Li, Huiping ; Doermann, David
Author_Institution :
Inst. for Adv. Comput. Studies, Maryland Univ., College Park, MD, USA
Abstract :
We address the problem of automatically tracking moving text in digital videos. Our scheme consists of two separate processes: monitoring which detects the new text line entering a frame, and tracking which uses prediction techniques to reconcile the text from frame to frame. Temporal consistency allows one to monitor periodically and reduce the computation complexity. The tracking process uses a rapid prediction/search scheme to update the position of the text blocks between frames. We provide details of the implementation and results for text moving in the scene and text which moves as a result of camera motion
Keywords :
computational complexity; computerised monitoring; image motion analysis; image sequences; prediction theory; signal detection; tracking; video signal processing; automatic text tracking; camera motion; computation complexity reduction; digital videos; frame; monitoring; prediction techniques; prediction/search; temporal consistency; text blocks; text line motion; video sequences; Computerized monitoring; Data mining; Digital cameras; Educational institutions; Indexing; Laboratories; Layout; Motion analysis; Optical character recognition software; Videos;
Conference_Titel :
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-4919-9
DOI :
10.1109/MMSP.1998.738907