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2010
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A New Symmetry Based on Proximity of Wavelet-Moments for Text Frame Classification in Video

10 years 9 months ago
A New Symmetry Based on Proximity of Wavelet-Moments for Text Frame Classification in Video
This paper proposes the use of a new symmetry property based on proximity of the median moments in the wavelet domain. The method divides a given frame into 16 equally sized blocks to classify the true text frame. The average of high frequency subbands of a block is used for computing median moments to brighten the text pixel in a block of video frame. Then K-means clustering with K=2 is applied on the median moments of the block to classify it as a probable text block. For classified blocks, average wavelet median moments are computed for a sliding window. We introduce Max-Min cluster to classify the probable text pixel in each probable text block. The four quadrants are formed from the centroid of the probable text pixels. The new concept called symmetry is introduced to identify the true text block based on proximity between probable text pixels in each quadrant. If the frame produces at least one true text block, it is considered as a text frame otherwise a non-text frame. The meth...
Shivakumara Palaiahnakote, Anjan Dutta, Chew-Lim T
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2010
Where ICPR
Authors Shivakumara Palaiahnakote, Anjan Dutta, Chew-Lim Tan, Umapada Pal
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