Contents adaptive deinterlacing based on local content classification

Kwon Lee, Guiwon Seo, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In contents adaptive deinterlacing methods, accurate contents classification is important to minimize deinterlacing artifacts. The adaptive dynamic range coding (ADRC) method is widely used for local video contents classification because it has low complexity. However, since the ADRC method coarsely classifies local video contents, its performance is rather limited. For accurate local video contents classification, we propose a modified ADRC (MADRC) method. While the ADRC method encodes each pixel using 1-bit, the proposed method encodes each pixel using 2-bits by dividing into more detailed intervals. Encoded bits are concatenated together to form a class. We compute vertical-temporal (VT) filters using the least square solution for each class classified by the MADRC method. These VT filters are obtained from progressive videos in advance. Then, we adaptively apply these VT filters to interlaced video based on the local video contents classification results. To evaluate the proposed method, we conducted experiments using 13 CIF progressive video sequences. Experimental results show that the proposed deinterlacing method showed 1-3 dB improvement in terms of PSNR compared to existing methods.

Original languageEnglish
Title of host publicationProceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010
Pages204-207
Number of pages4
Publication statusPublished - 2010 Jul 20
Event11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010 - Innsbruck, Austria
Duration: 2010 Feb 172010 Feb 19

Publication series

NameProceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010

Other

Other11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010
CountryAustria
CityInnsbruck
Period10/2/1710/2/19

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Experiments

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Lee, K., Seo, G., & Lee, C. (2010). Contents adaptive deinterlacing based on local content classification. In Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010 (pp. 204-207). (Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010).
Lee, Kwon ; Seo, Guiwon ; Lee, Chulhee. / Contents adaptive deinterlacing based on local content classification. Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010. 2010. pp. 204-207 (Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010).
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Lee, K, Seo, G & Lee, C 2010, Contents adaptive deinterlacing based on local content classification. in Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010. Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010, pp. 204-207, 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010, Innsbruck, Austria, 10/2/17.

Contents adaptive deinterlacing based on local content classification. / Lee, Kwon; Seo, Guiwon; Lee, Chulhee.

Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010. 2010. p. 204-207 (Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee K, Seo G, Lee C. Contents adaptive deinterlacing based on local content classification. In Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010. 2010. p. 204-207. (Proceedings of the 11th IASTED International Conference on Computer Graphics and Imaging, CGIM 2010).