|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2009 WRI World Congress on Computer Science and Information Engineering
Caption Text Extraction Using DCT Feature in MPEG Compressed Video
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Jiangbo Xu, Xiuhua Jiang, Yuxia Wang, "Caption Text Extraction Using DCT Feature in MPEG Compressed Video," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 431-434, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.107, author = {Jiangbo Xu and Xiuhua Jiang and Yuxia Wang}, title = {Caption Text Extraction Using DCT Feature in MPEG Compressed Video}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {6}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {431-434}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.107}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - Caption Text Extraction Using DCT Feature in MPEG Compressed Video SN - 978-0-7695-3507-4 SP431 EP434 A1 - Jiangbo Xu, A1 - Xiuhua Jiang, A1 - Yuxia Wang, PY - 2009 KW - Caption Text KW - DCT KW - Compressed Domain KW - Texture Energy KW - Text extraction VL - 6 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.107
Caption text provides valuable information about contents in video sequences. In this paper, an efficient method to locate candidate caption text regions of video directly in the DCT compressed domain is proposed. Candidate text blocks are detected in terms of DCT texture energy. A 3×3 median filter is used as spatial constraint to refine the text regions. An adaptive temporal constraint method is designed according to the same caption text last for at least two seconds. Finally we convert the extracted text regions into HSV color space to generate binary text images that required by commercial OCRs. Experimental results on several video sequences show that the proposed algorithm is efficient to detect and extract caption text in MPEG video sequences with various scene complexities.
Index Terms:
Caption Text, DCT, Compressed Domain, Texture Energy, Text extraction
Citation:
Jiangbo Xu, Xiuhua Jiang, Yuxia Wang, "Caption Text Extraction Using DCT Feature in MPEG Compressed Video," csie, vol. 6, pp.431-434, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.