Automatic Text Extraction in Video Based on the Combined Corner Metric and Laplacian Filtering Technique
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 6
Abstract
Text in the videos and images provides very major information about the content of the videos, the video text extraction provide a major role in semantic analysis of the video, video indexing and video retrieval which is an important role in video database. We propose an efficient method for detecting, localizing and extracting the text appearing in the videos with noisy and complex background. The text region appearing in the video or an image has certain features that distinguishes it from the rest of the background, we make use of corner metric and Laplacian filtering techniques to detect the text appearing in video independent of each other and combine the results for an efficient detection and localization. Then the binarization of the localized text is done by the seed pixel determination of the text. the experimental results shows the efficiency of the proposed system.
Authors and Affiliations
Kaushik K. S , Suresha D
Keywords
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- EP ID EP125783
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