Image analysis – Image segmentation
Reexamination Certificate
2006-09-12
2006-09-12
Sherali, Ishrat (Department: 2624)
Image analysis
Image segmentation
C382S168000
Reexamination Certificate
active
07106900
ABSTRACT:
A method for generating a block-based image histogram from data compressed by JPEG, MPEG-1, and MPEG-2, or uncompressed image data employing block-based linear quantization to generate histograms that include color, brightness, and edge components. The edge histogram, in particular, includes the global edge features, semi-global edge features, and local edge features. The global edge histogram is based on image blocks of the entire image space. The local edge histogram is based on a group of edge blocks. The semi-global edge histogram is based on the horizontally and the vertically grouped image blocks. A method for generating block-based image histogram with color information and brightness information of image data in accordance with an embodiment of the present invention extracts feature information of an image in terms of the block and updates global histogram bins on the basis of the feature information. The method for generating block-based image histogram with color information and brightness information of image data minimizes quantization error by employing linear weight and updates values of histogram bins. The error that occurs at a boundary between bins of the histograms and the linear weight depends on the distance between the histogram bins.
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Choi Dong See
Kim Hyun Jin
Park Dong Kwon
Park Soo Jun
Won Chee Sun
Electronics and Telecommunications Research Institute
Seed IP Law Group PLLC
Sherali Ishrat
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