中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

6 records (took 0.012 seconds)

    SCALABLE IMAGE MATCHING
    3.
    发明申请
    SCALABLE IMAGE MATCHING 审中-公开
    可图像匹配

    公开(公告)号：US20160189000A1

    公开(公告)日：2016-06-30

    申请号：US15063050

    申请日：2016-03-07

    Applicant: A9.com, Inc.

    Inventor： SIMANT DUBE ,  SUNIL RAMESH ,  XIAOFAN LIN ,  ARNAB SANAT KUMAR DHUA ,  COLIN JON TAYLOR ,  JAISHANKER K. PILLAI

    IPC: G06K9/62

    CPC classification number: G06K9/6215 ,  G06F17/30247 ,  G06K9/00523 ,  G06K9/4676 ,  G06K9/52 ,  G06K9/6206 ,  G06K9/6211 ,  G06K9/6218 ,  G06K9/6232 ,  G06K9/6256 ,  G06K9/6267 ,  G06K9/6269 ,  G06K9/6276 ,  G06K9/6277 ,  G06K9/6284 ,  G06K9/66 ,  G06K2209/19 ,  H04N19/426 ,  H04N19/90

    Abstract: Various embodiments may increase scalability of image representations stored in a database for use in image matching and retrieval. For example, a system providing image matching can obtain images of a number of inventory items, extract features from each image using a feature extraction algorithm, and transform the same into their feature descriptor representations. These feature descriptor representations can be subsequently stored and used to compare against query images submitted by users. Though the size of each feature descriptor representation isn't particularly large, the total number of these descriptors requires a substantial amount of storage space. Accordingly, feature descriptor representations are compressed to minimize storage and, in one example, machine learning can be used to compensate for information lost as a result of the compression.

    Abstract translation: 各种实施例可以增加存储在用于图像匹配和检索的数据库中的图像表示的可扩展性。 例如，提供图像匹配的系统可以获得多个库存物品的图像，使用特征提取算法从每个图像中提取特征，并将其转换成它们的特征描述符表示。 这些特征描述符表示可随后存储并用于与用户提交的查询图像进行比较。 虽然每个特征描述符表示的大小不是特别大，但是这些描述符的总数需要大量的存储空间。 因此，压缩特征描述符表示以最小化存储，并且在一个示例中，可以使用机器学习来补偿由于压缩而丢失的信息。

    IMAGE RECOGNITION RESULT CULLING
    4.
    发明申请
    IMAGE RECOGNITION RESULT CULLING 审中-公开

    公开(公告)号：US20180060935A1

    公开(公告)日：2018-03-01

    申请号：US15792339

    申请日：2017-10-24

    Applicant: A9.com, Inc.

    Inventor： ARNAB SANAT KUMAR DHUA ,  SUNIL RAMESH

    IPC: G06Q30/06 ,  G06K9/62 ,  G06K9/46 ,  G06F17/30

    CPC classification number: G06Q30/0623 ,  G06F16/532 ,  G06F16/583 ,  G06K9/4676 ,  G06K9/6202 ,  G06K9/6807 ,  G06Q30/0631

    Abstract: Various embodiments enable an image recognition system reduce the number image match candidates before running a full-fledged pair-wise match on all image match candidates. In order to accomplish this, each inventory image can be assigned to a group. For example, a title for a book sold by an electronic marketplace could be available in multiple languages, in multiple bindings, and the book could be available in print, audio book, or electronic book. Each one of these variations could be associated with its own similarly looking inventory image, each of which could be returned as a valid match to a query image for the book. Accordingly, the inventory images for these variations could be assigned to a group for the book and, instead of geometrically processing an image for each variation, the image match system can process a single image representing all of the variations.

    VISUAL SEARCH UTILIZING COLOR DESCRIPTORS
    5.
    发明申请
    VISUAL SEARCH UTILIZING COLOR DESCRIPTORS 审中-公开

    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

    IPC: G06K9/00 ,  G06K9/46

    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.

    VISUAL SEARCH UTILIZING COLOR DESCRIPTORS
    6.
    发明申请
    VISUAL SEARCH UTILIZING COLOR DESCRIPTORS 审中-公开
    可视化搜索使用颜色描述符

    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。

Patent Agency Ranking