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    • 2. 发明授权
    • System for generating tag layouts
    • 用于生成标签布局的系统
    • US08928929B2
    • 2015-01-06
    • US13598260
    • 2012-08-29
    • Minwoo ParkDhiraj JoshiAlexander C. LouiAmit Singhal
    • Minwoo ParkDhiraj JoshiAlexander C. LouiAmit Singhal
    • G06F3/12G06T1/20G06T15/40G09G5/00G06K9/20
    • G06T11/60G06F17/214G06T11/00
    • Generating a tag layout from a set of tags and an ordering of the set of tags, wherein each tag includes a text label and a size for the text label, is disclosed. The system includes a processor accessible memory for receiving an ordered set of tags, each tag including a text label and a size for the text label, and at least one closed shape corresponding to a space for the tag layout. The system further includes a processor for generating the tag layout by computing a scale factor for either the closed shape or the size of the text labels in the set of tags such that all the tags in the set of tags fit within the closed shape, and the processor stores the generated tag layout in the memory.
    • 公开了一组标签生成标签布局以及该标签集的顺序,其中每个标签包括文本标签和文本标签的尺寸。 该系统包括用于接收有序集合标签的处理器可访问存储器,每个标签包括文本标签和文本标签的尺寸,以及至少一个对应于标签布局的空间的封闭形状。 该系统还包括一个处理器,用于通过计算一组标签中的封闭形状或文本标签的尺寸的比例因子来生成标签布局,使得该组标签中的所有标签适合于封闭形状,以及 处理器将生成的标签布局存储在存储器中。
    • 3. 发明申请
    • System For Generating Tag Layouts
    • 用于生成标签布局的系统
    • US20140063556A1
    • 2014-03-06
    • US13598260
    • 2012-08-29
    • Minwoo ParkDhiraj JoshiAlexander C. LouiAmit Singhal
    • Minwoo ParkDhiraj JoshiAlexander C. LouiAmit Singhal
    • G06K9/36G06K15/02
    • G06T11/60G06F17/214G06T11/00
    • Generating a tag layout from a set of tags and an ordering of the set of tags, wherein each tag includes a text label and a size for the text label, is disclosed. The system includes a processor accessible memory for receiving an ordered set of tags, each tag including a text label and a size for the text label, and at least one closed shape corresponding to a space for the tag layout. The system further includes a processor for generating the tag layout by computing a scale factor for either the closed shape or the size of the text labels in the set of tags such that all the tags in the set of tags fit within the closed shape, and the processor stores the generated tag layout in the memory.
    • 公开了一组标签生成标签布局以及该标签集的顺序,其中每个标签包括文本标签和文本标签的尺寸。 该系统包括用于接收有序集合标签的处理器可访问存储器,每个标签包括文本标签和文本标签的尺寸,以及至少一个对应于标签布局的空间的封闭形状。 该系统还包括一个处理器,用于通过计算一组标签中的封闭形状或文本标签的尺寸的比例因子来生成标签布局,使得该组标签中的所有标签都适合于闭合形状,以及 处理器将生成的标签布局存储在存储器中。
    • 4. 发明申请
    • Method For Computing Scale For Tag Insertion
    • 用于标记插入的计算标尺的方法
    • US20140063536A1
    • 2014-03-06
    • US13598310
    • 2012-08-29
    • Minwoo ParkDhiraj JoshiAlexander C. Loui
    • Minwoo ParkDhiraj JoshiAlexander C. Loui
    • G06K15/02G09G5/00
    • G09G5/006G09G5/26G09G5/40G09G2340/10H04L51/32
    • Computing a scale factor to insert a first set of shapes into a second set of shapes to form a combined image includes receiving the two sets of shapes, using a processor to convert the first set of shapes into a set of rectangles and the second set of shapes into a set of intervals and computing the scale factor for either the set of intervals or the set of rectangles to generate the combined image by iteratively inserting the set of rectangles into the set of intervals and updating the scale factor in response to a residual area or an overflow area until all the rectangles in the set of rectangles have been inserted into the set of intervals and the residual area in the set of intervals is below a threshold, and storing the combined image in memory.
    • 计算比例因子以将第一组形状插入到第二组形状中以形成组合图像包括使用处理器来接收两组形状,以将第一组形状转换为一组矩形,并且第二组 形成一组间隔,并且通过迭代地将该组矩形迭代地插入到该组间隔中并且响应于剩余区域更新比例因子来计算间隔集合或矩形集合的比例因子以生成组合图像 或溢出区域,直到该组矩形中的所有矩形已经被插入到该组间隔中,并且该间隔集合中的剩余区域低于阈值,并将组合的图像存储在存储器中。
    • 5. 发明授权
    • Method for computing scale for tag insertion
    • 计算标签插入尺度的方法
    • US08786889B2
    • 2014-07-22
    • US13598310
    • 2012-08-29
    • Minwoo ParkDhiraj JoshiAlexander C. Loui
    • Minwoo ParkDhiraj JoshiAlexander C. Loui
    • G06K15/00G06F3/12G06K9/20G06K9/34
    • G09G5/006G09G5/26G09G5/40G09G2340/10H04L51/32
    • Computing a scale factor to insert a first set of shapes into a second set of shapes to form a combined image includes receiving the two sets of shapes, using a processor to convert the first set of shapes into a set of rectangles and the second set of shapes into a set of intervals and computing the scale factor for either the set of intervals or the set of rectangles to generate the combined image by iteratively inserting the set of rectangles into the set of intervals and updating the scale factor in response to a residual area or an overflow area until all the rectangles in the set of rectangles have been inserted into the set of intervals and the residual area in the set of intervals is below a threshold, and storing the combined image in memory.
    • 计算比例因子以将第一组形状插入到第二组形状中以形成组合图像包括使用处理器来接收两组形状,以将第一组形状转换为一组矩形,并且第二组 形成一组间隔,并且通过迭代地将该组矩形迭代地插入到该组间隔中并且响应于剩余区域更新比例因子来计算间隔集合或矩形集合的比例因子以生成组合图像 或溢出区域,直到该组矩形中的所有矩形已经被插入到该组间隔中,并且该间隔集合中的剩余区域低于阈值,并将组合的图像存储在存储器中。
    • 7. 发明授权
    • Identifying high saliency regions in digital images
    • 识别数字图像中的高显着区域
    • US08401292B2
    • 2013-03-19
    • US13094217
    • 2011-04-26
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • G06K9/34
    • G06K9/4671G06K9/34G06T7/11G06T7/162G06T2207/20072G06T2207/20164
    • A method for identifying high saliency regions in a digital image, comprising: segmenting the digital image into a plurality of segmented regions; determining a saliency value for each segmented region, merging neighboring segmented regions that share a common boundary in response to determining that one or more specified merging criteria are satisfied; and designating one or more of the segmented regions to be high saliency regions. The determination of the saliency value for a segmented region includes: determining a surround region including a set of image pixels surrounding the segmented region; analyzing the image pixels in the segmented region to determine one or more segmented region attributes; analyzing the image pixels in the surround region to determine one or more corresponding surround region attributes; determining a region saliency value responsive to differences between the one or more segmented region attributes and the corresponding surround region attributes.
    • 一种用于识别数字图像中的高显着区域的方法,包括:将所述数字图像分割成多个分割区域; 确定每个分段区域的显着值,以响应于确定满足一个或多个指定的合并标准来合并共享公共边界的相邻分割区域; 并且将一个或多个分割区域指定为高显着区域。 分割区域的显着性值的确定包括:确定围绕分割区域的一组图像像素的环绕区域; 分析分割区域中的图像像素以确定一个或多个分段区域属性; 分析环绕区域中的图像像素以确定一个或多个相应的环绕区域属性; 响应于所述一个或多个分段区域属性和对应的环绕区域属性之间的差异来确定区域显着值。
    • 8. 发明申请
    • IDENTIFYING HIGH SALIENCY REGIONS IN DIGITAL IMAGES
    • 识别数字图像中的高密度区域
    • US20120275701A1
    • 2012-11-01
    • US13094217
    • 2011-04-26
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • Minwoo ParkAlexander C. LouiMrityunjay Kumar
    • G06K9/34
    • G06K9/4671G06K9/34G06T7/11G06T7/162G06T2207/20072G06T2207/20164
    • A method for identifying high saliency regions in a digital image, comprising: segmenting the digital image into a plurality of segmented regions; determining a saliency value for each segmented region, merging neighboring segmented regions that share a common boundary in response to determining that one or more specified merging criteria are satisfied; and designating one or more of the segmented regions to be high saliency regions. The determination of the saliency value for a segmented region includes: determining a surround region including a set of image pixels surrounding the segmented region; analyzing the image pixels in the segmented region to determine one or more segmented region attributes; analyzing the image pixels in the surround region to determine one or more corresponding surround region attributes; determining a region saliency value responsive to differences between the one or more segmented region attributes and the corresponding surround region attributes.
    • 一种用于识别数字图像中的高显着区域的方法,包括:将所述数字图像分割成多个分割区域; 确定每个分段区域的显着值,以响应于确定满足一个或多个指定的合并标准来合并共享公共边界的相邻分割区域; 并且将一个或多个分割区域指定为高显着区域。 分割区域的显着性值的确定包括:确定围绕分割区域的一组图像像素的环绕区域; 分析分割区域中的图像像素以确定一个或多个分段区域属性; 分析环绕区域中的图像像素以确定一个或多个相应的环绕区域属性; 响应于所述一个或多个分段区域属性和对应的环绕区域属性之间的差异来确定区域显着值。