DocumentCode :
47050
Title :
Automatic Inpainting Scheme for Video Text Detection and Removal
Author :
Mosleh, Aboozar ; Bouguila, N. ; Hamza, A.B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
Volume :
22
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
4460
Lastpage :
4472
Abstract :
We present a two stage framework for automatic video text removal to detect and remove embedded video texts and fill-in their remaining regions by appropriate data. In the video text detection stage, text locations in each frame are found via an unsupervised clustering performed on the connected components produced by the stroke width transform (SWT). Since SWT needs an accurate edge map, we develop a novel edge detector which benefits from the geometric features revealed by the bandlet transform. Next, the motion patterns of the text objects of each frame are analyzed to localize video texts. The detected video text regions are removed, then the video is restored by an inpainting scheme. The proposed video inpainting approach applies spatio-temporal geometric flows extracted by bandlets to reconstruct the missing data. A 3D volume regularization algorithm, which takes advantage of bandlet bases in exploiting the anisotropic regularities, is introduced to carry out the inpainting task. The method does not need extra processes to satisfy visual consistency. The experimental results demonstrate the effectiveness of both our proposed video text detection approach and the video completion technique, and consequently the entire automatic video text removal and restoration process.
Keywords :
edge detection; feature extraction; image motion analysis; image restoration; pattern clustering; text detection; transforms; 3D volume regularization algorithm; SWT; automatic inpainting scheme; automatic video text removal; bandlet transform; edge detector; missing data reconstruction; spatiotemporal geometric flow extraction; stroke width transform; text object motion pattern; unsupervised clustering; video completion technique; video inpainting approach; video restoration process; video text detection; video text localization; Feature extraction; Image edge detection; Image restoration; Image segmentation; Vectors; Wavelet transforms; Bandlets; edge detection; inpainting; regularization; stroke width transform; text detection; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Video Recording; Writing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2013.2273672
Filename :
6562754
Link To Document :
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