1999
DOI: 10.1117/12.335804
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Text enhancement in digital video

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Cited by 28 publications
(23 citation statements)
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“…Li et al [64] presented a text tracking approach that is suitable for several circumstances, including scrolling, captions, text printed on an athlete's jersey, etc. They used the sum of the squared di erence for a pure translational motion model, based on multi-resolution matching, to reduce the computational complexity.…”
Section: Tracking Extraction and Enhancementmentioning
confidence: 99%
“…Li et al [64] presented a text tracking approach that is suitable for several circumstances, including scrolling, captions, text printed on an athlete's jersey, etc. They used the sum of the squared di erence for a pure translational motion model, based on multi-resolution matching, to reduce the computational complexity.…”
Section: Tracking Extraction and Enhancementmentioning
confidence: 99%
“…Text should be clearly extracted from its background to obtain a good recognition result for the characters. Temporal information can be used to enhance the quality of video text as in [26][27][28]. Special technique should be investigated to segment the characters from their background before putting them into an OCR software in the future work as in [29][30][31].…”
Section: Discussionmentioning
confidence: 99%
“…The excerpt shown in Figure 1 consisting of three images extracted from the test sets used in this paper illustrates various complex backgrounds where text is embedded. The proposed method overcomes the difficulties for finding the optimal global/local threshold [12,22,11,21] or the request for different training samples in [15,4] by applying unsupervised fuzzy clustering. In the following, a short review of the fuzzy c-means algorithm is given before proceeding further by explaining its application in our text segmentation technique.…”
Section: Adaptive Fuzzy Text Segmentation and Binarizationmentioning
confidence: 99%
“…The first peak from the left on the smoothed histogram is choosen as the optimal threshold for the binarization process. After enhancing the image using Shannon up-sampling, Li et al [11] apply a local thresholding method to binarize the enhanced image. A block is marked as background only if its standard deviation is smaller than a fixed threshold.…”
Section: Related Workmentioning
confidence: 99%