Problems avi: frame1 cut out grayscale

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Presentation transcript:

Problems 1253953980.avi: frame1 cut out grayscale can you distinguish by the texture? color is important

Model Input image high resolution texture low resolution color texture is obtained by subtracting the mean color in each 8x8 window make independent texture and color models (mostly to reduce variability and dimensionality of texture space)

Model texture texton histograms FG BG color i.i.d. color GMM

Recognition patch texton hist texture “distance” to FG_hist “distance” to BG_hist learned statistics learned statistics color likelihood ratio likelihood ratio color FG/BG likelihood ratio