公开(公告)号：US07106900B2

公开(公告)日：2006-09-12

申请号：US10881807

申请日：2004-06-30

申请人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

发明人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

IPC分类号： G06K9/34

CPC分类号： G06K9/4647 ,  G06K9/4642

摘要： 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.

公开(公告)号：US06807298B1

公开(公告)日：2004-10-19

申请号：US09493841

申请日：2000-01-28

申请人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

发明人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

IPC分类号： G06K900

CPC分类号： G06K9/4647 ,  G06K9/4642

摘要： 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.

摘要翻译： 一种用于由通过JPEG，MPEG-1和MPEG-2压缩的数据产生基于块的图像直方图的方法，或者使用基于块的线性量化的未压缩图像数据来生成包括颜色，亮度和边缘分量的直方图。 边缘直方图尤其包括全局边缘特征，半全局边缘特征和局部边缘特征。 全局边缘直方图基于整个图像空间的图像块。 局部边缘直方图基于一组边缘块。 半全局边缘直方图基于水平和垂直分组的图像块。 根据本发明的实施例的用于生成具有颜色信息和图像数据的亮度信息的基于块的图像直方图的方法基于块提取图像的特征信息，并且基于特征信息来更新全局直方图箱 。 利用彩色信息和图像数据的亮度信息生成基于块的图像直方图的方法通过采用线性权重和直方图区块的更新值来最小化量化误差。 在直方图的边界和线性权重之间的边界处发生的误差取决于柱状图区间之间的距离。

公开(公告)号：US07697754B2

公开(公告)日：2010-04-13

申请号：US11350626

申请日：2006-02-08

申请人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

发明人： Soo Jun Park ,  Chee Sun Won ,  Dong Kwon Park ,  Dong See Choi ,  Seong Joon Yoo ,  Hyun Jin Kim

IPC分类号： G06K9/00 ,  G06K9/54

CPC分类号： G06K9/4647 ,  G06K9/4642

摘要： 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.

摘要翻译： 一种用于由通过JPEG，MPEG-1和MPEG-2压缩的数据产生基于块的图像直方图的方法，或者使用基于块的线性量化的未压缩图像数据来生成包括颜色，亮度和边缘分量的直方图。 边缘直方图尤其包括全局边缘特征，半全局边缘特征和局部边缘特征。 全局边缘直方图基于整个图像空间的图像块。 局部边缘直方图基于一组边缘块。 半全局边缘直方图基于水平和垂直分组的图像块。 根据本发明的实施例的用于生成具有颜色信息和图像数据的亮度信息的基于块的图像直方图的方法基于块提取图像的特征信息，并且基于特征信息来更新全局直方图箱 。 利用彩色信息和图像数据的亮度信息生成基于块的图像直方图的方法通过采用线性权重和直方图区块的更新值来最小化量化误差。 在直方图的边界和线性权重之间的边界处发生的误差取决于柱状图区间之间的距离。