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公开(公告)号：US20160155025A1
公开(公告)日：2016-06-02
申请号：US15017156
申请日：2016-02-05
Applicant: A9.com, Inc.
Inventor： HIMANSHU ARORA , ARNAB SANAT KUMAR DHUA
CPC classification number: G06F3/0482 , G06K9/4652 , G06K9/6218 , G06Q30/0643 , G06T5/20 , G06T7/11 , G06T7/90
Abstract: Various embodiments provide a method for determining color information for an image. For example, a color descriptor for an image can be determined and compared against color descriptors stored for each of a number of sample images, which each represent a color in a color space. Upon comparison, matching scores can be generated for a color match between the image and each respective sample image. In this example, the number of sample images with a matching score above a threshold value can be summed and the image can be assigned to a color associated with a highest frequency of the number of sample images. Accordingly, the assigned color of the image can then be used in a “query by color” search or a browse-by-color capability.
Abstract translation: 各种实施例提供了一种用于确定图像的颜色信息的方法。 例如，可以确定图像的颜色描述符并将其与针对每个表示颜色空间中的颜色的多个样本图像中的每一个存储的颜色描述符进行比较。 相比之下，可以为图像和每个相应样本图像之间的颜色匹配生成匹配分数。 在该示例中，可以将匹配分数高于阈值的样本图像的数量相加，并且可以将图像分配给与样本图像数量的最高频率相关联的颜色。 因此，图像的分配颜色然后可以用于“通过颜色查询”搜索或逐个浏览色彩的能力。
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公开(公告)号：US20170277948A1
公开(公告)日：2017-09-28
申请号：US15618946
申请日：2017-06-09
Applicant: A9.com, Inc.
Inventor： ARNAB SANAT KUMAR DHUA , HIMANSHU ARORA , SUNIL RAMESH
CPC classification number: G06K9/00536 , G06K9/4652
Abstract: Various embodiments provide a method for computing color descriptors of product images. For example, a number of fine color representatives can be determined to describe color variation in an image as a histogram by assigning a saturation value and a brightness value to a plurality of color hues. For each pixel of the image, the closest color among a defined fine color representative set is computed. In this example, each of the pixels is assigned a color ID corresponding to their closest matching fine color representative and at least one family color ID corresponding one or more pure color families. In this example, a histogram of the color representatives and a histogram for the color families are computed. A single color vector descriptor for the image is then determined by combining the family histogram with the color representative histogram.
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公开(公告)号：US20150286863A1
公开(公告)日：2015-10-08
申请号：US14747331
申请日：2015-06-23
Applicant: A9.com, Inc.
Inventor： ARNAB SANAT KUMAR DHUA , HIMANSHU ARORA , SUNIL RAMESH
IPC: G06K9/00
CPC classification number: G06K9/00536 , G06K9/4652
Abstract: Various embodiments provide a method for computing color descriptors of product images. For example, a number of fine color representatives can be determined to describe color variation in an image as a histogram by assigning a saturation value and a brightness value to a plurality of color hues. For each pixel of the image, the closest color among a defined fine color representative set is computed. In this example, each of the pixels is assigned a color ID corresponding to their closest matching fine color representative and at least one family color ID corresponding one or more pure color families. In this example, a histogram of the color representatives and a histogram for the color families are computed. A single color vector descriptor for the image is then determined by combining the family histogram with the color representative histogram.
Abstract translation: 各种实施例提供了一种用于计算产品图像的颜色描述符的方法。 例如，通过将饱和度值和亮度值分配给多个色调，可以确定许多细色代表以描述图像中的颜色变化作为直方图。 对于图像的每个像素，计算定义的精细颜色代表集合中最接近的颜色。 在该示例中，为每个像素分配与其最接近的匹配细色代表相对应的颜色ID和对应于一个或多个纯色族的至少一个族色ID。 在该示例中，计算颜色代表的直方图和颜色族的直方图。 然后通过将族直方图与颜色代表性直方图组合来确定用于图像的单个颜色矢量描述符。
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