Presentation 2005/12/6
A Study on Spatio Scalable Coding Using Vector Representation
Yuki YAMAMOTO, Kei KAWAMURA, Hiroshi WATANABE,
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Abstract(in English) Vector representation has an advantage of keeping high image quality for arbitrary scaling. In recent years, a demand for scalable video coding has been increasing for the diversity of digital contents and display terminals. Conventional scalable video coding schemes are based on raster representation, and thus, line drawings deteriorate in quality when they are expanded and/or shrunk. In this paper, we propose an edge reconstruction method using vector representation for the purpose of keeping a consistent temporal scalability on transmission and display. We consider an anti-aliasing process in edge areas and approximate luminance values around the edge. We can display images at any scale by this method. Validity of the proposed methods is confirmed by quality assessment when the image is expanded and shrunk.
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Keyword(in English) Image coding / Vectorization / Edge detection / Scalability / Resolution conversion
Paper # CS2005-65,IE2005-120
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Committee CS
Conference Date 2005/12/6(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Spatio Scalable Coding Using Vector Representation
Sub Title (in English)
Keyword(1) Image coding
Keyword(2) Vectorization
Keyword(3) Edge detection
Keyword(4) Scalability
Keyword(5) Resolution conversion
1st Author's Name Yuki YAMAMOTO
1st Author's Affiliation GITS, WASEDA University()
2nd Author's Name Kei KAWAMURA
2nd Author's Affiliation GITS, WASEDA University
3rd Author's Name Hiroshi WATANABE
3rd Author's Affiliation GITS, WASEDA University
Date 2005/12/6
Paper # CS2005-65,IE2005-120
Volume (vol) vol.105
Number (no) 461
Page pp.pp.-
#Pages 6
Date of Issue