LAMP Seminar
Language and Media Processing Laboratory
Conference Room 4406
A.V. Williams Building
University of Maryland

Tuesday May 9th, 1999
1:00 PM

Huiping Li

Text Enhancement in Digital Video
Using Multiple Frame Integration


Text recognition in digital video presents several new challenges over traditional OCR of scanned documents. First, the text resolution is often so low that commercial OCR software can not recognize it reliably. Second, text is often embedded on complex background so text separation from background is a difficult task. In this talk we propose a super-resolution based method to increase the textual image resolution and smooth the background. We make use of the fact that the same text string usually exists in the consecutive multiple frames and register them in the subpixel accuracy. The registered text blocks are fused to achieve a new text block with high resolution and clean background. We will describe the implementation details and discuss the conditions our scheme supposes. Experiments on several video sequences show that our enhancement scheme can improve OCR accuracy considerably.

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