Qian Chen, Guangtao Zhai , Xiaokang Yang, and Wenjun Zhang ISCAS,2008. Application of Scalable Visual Sensitivity Profile in Image and Video Coding. Outline. Introduction Scalable visual sensitivity profile (SVSP) SVSP in noise-shaping SVSP in ROI coding of JPEG2000
Qian Chen, GuangtaoZhai, Xiaokang Yang, and WenjunZhang
Center surround receptive field simulation
Cross level addition and normalize
Non-linear feature combination
,we can create pyramids for each of these channels of the framei
c ∈ [0, 8], s = c + δ,
δ ∈ [−3,−2,−1, 1, 2, 3] and s is thrown away if s ∈ [0, 8].
Skin & caption detection
Ref.G. T. Zhai, Q. Chen, X. K. Yang, W. J. Zhang,”Scalable Visual Significance Profile Estimation”, submitted to International Conference on Acoustics, Speech, and Signal Processing, April, 2008, Las Vegas, US.
(a)Luminance of frame 51 in president debate.
(b)Chou’s JND model, PNSR=25.99 dB.
(c)Yang’s JND model, PNSR=25.99 dB.
(d)proposed VSP-based JND model, PNSR=25.99 dB.
(a) Details of the most sensitive
of frame 51 in president debate.
(b) Details of image coded at 0.1bpp with
arbitrary ROI defined in VSP, PSNR-Y=27.2dB.
(c) Details of image coded at 0.1bpp with rectangular-shaped ROI defined in SVP, PSNR-Y=32.6dB.
(d)Details of image coded at 0.1bpp without ROI, PSNR-Y=24.0dB.
Filter out isolated
Most saliency point
(a) Average PSNR-Y vs. bit rate of president debate.
(b) Average PSNR-Y vs. bit rate of foreman.
(c) Average PSNR-Y vs. bit rate of crew.
(d)Average PSNR-Y vs. bit rate of coastguard.
(b)with SVSP defined ROI