Localization of Overlaid Text Based on Noise Inconsistencies

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dc.contributor.authorToo, Boaz K.
dc.contributor.authorPrabhakar, C. J.
dc.date.accessioned2018-05-08T13:38:25Z
dc.date.available2018-05-08T13:38:25Z
dc.date.issued2015-04
dc.description.abstractIn this paper, we present a novel technique for localization of caption text in video frames based on noise inconsistencies. Text is artificially added to the video after it has been captured and as such does not form part of the original video graphics. Typically, the amount of noise level is uniform across the entire captured video frame, thus, artificially embedding or overlaying text on the video introduces yet another segment of noise level. Therefore detection of various noise levels in the video frame may signify availability of overlaid text. Hence we exploited this property by detecting regions with various noise levels to localize overlaid text in video frames. Experimental results obtained shows a great improvement in line with overlaid text localization, where we have performed metric measure based on Recall, Precision and f-measure.en_US
dc.identifier.citationAdvanced Computational Intelligence: An International Journal (ACII), Vol.2, No.2, April 2015en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1294
dc.language.isoenen_US
dc.subjectOverlaid text detectionen_US
dc.subjectText information extractionen_US
dc.subjectText localizationen_US
dc.titleLocalization of Overlaid Text Based on Noise Inconsistenciesen_US
dc.typeArticleen_US
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