公开(公告)号：US09280560B1

公开(公告)日：2016-03-08

申请号：US14133252

申请日：2013-12-18

Applicant: A9.com, Inc.

Inventor： Simant Dube ,  Sunil Ramesh ,  Xiaofan Lin ,  Arnab Sanat Kumar Dhua ,  Colin Jon Taylor ,  Jaishanker K. Pillai

IPC: G06K9/46 ,  G06F17/30 ,  G06K9/00 ,  G06T9/00 ,  H04N19/90

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。

公开(公告)号：US20160005189A1

公开(公告)日：2016-01-07

申请号：US14850813

申请日：2015-09-10

Applicant: A9.com, Inc.

Inventor： Douglas R. Gray ,  Arnab S. Dhua ,  Yu Lou ,  Sunil Ramesh

IPC: G06T11/00 ,  G06K9/00 ,  H04N7/18 ,  G06K9/22 ,  G06K9/46

CPC classification number: G06T11/00 ,  G06F17/30 ,  G06F17/30253 ,  G06F17/30796 ,  G06F17/30864 ,  G06K9/00456 ,  G06K9/00671 ,  G06K9/22 ,  G06K9/3258 ,  G06K9/46 ,  G06T11/60 ,  H04N7/183

Abstract: Approaches are described for rendering augmented reality overlays on an interface displaying the active field of view of a camera. The interface can display to a user an image or video, for example, and the overlay can be rendered over, near, or otherwise positioned with respect to any text or other such elements represented in the image. The overlay can have associated therewith at least one function or information, and when an input associated with the overlay is selected, the function can be performed (or caused to be performed) by the portable computing device.

Abstract translation: 描述了用于在显示相机的活动视场的界面上渲染增强现实叠加的方法。 接口可以例如向用户显示图像或视频，并且可以相对于图像中表示的任何文本或其他这样的元素，重叠，靠近或以其他方式定位覆盖。 覆盖层可以具有与其相关联的至少一个功能或信息，并且当选择与覆盖相关联的输入时，该功能可由便携式计算设备执行（或使其被执行）。

公开(公告)号：US20150363943A1

公开(公告)日：2015-12-17

申请号：US14303237

申请日：2014-06-12

Applicant: A9.com, Inc.

Inventor： Ismet Zeki Yalniz ,  Sunil Ramesh

IPC: G06T7/40 ,  G06K9/00

CPC classification number: G06T7/90 ,  G06K9/00496 ,  G06Q30/0625 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T11/001

Abstract: Disclosed are various embodiments for generating recommendations utilizing visual image analysis. A digital image provided by a client device is analyzed to identify an empty region in a setting embodied in the digital image. A recommended item, available for consumption via an electronic commerce system, may be identified based on characteristics of the setting embodied in the digital image and historical data associated with a user. A modified form of the digital image is generated comprising the recommended item in the empty region.

Abstract translation: 公开了利用视觉图像分析产生建议的各种实施例。 分析由客户端设备提供的数字图像以识别数字图像中体现的设置中的空白区域。 可以基于数字图像中包含的设置的特征和与用户相关联的历史数据来识别可通过电子商务系统消费的推荐项目。 生成数字图像的修改形式，包括空白区域中的推荐项目。

公开(公告)号：US09189854B2

公开(公告)日：2015-11-17

申请号：US14223717

申请日：2014-03-24

Applicant: A9.com, Inc.

Inventor： Arnab Sanat Kumar Dhua ,  Sunil Ramesh

IPC: G06K9/36 ,  G06K9/46 ,  G06T7/00 ,  G06K9/48 ,  G06K9/62

CPC classification number: G06T7/0042 ,  G06K9/4604 ,  G06K9/4671 ,  G06K9/48 ,  G06K9/6277 ,  G06T7/73

Abstract: Systems and methods are provided for creating contour images that represent the contour of objects reflected in images, calculating contour histogram descriptors of the contour images, and classifying images based in part on the histogram descriptors of the contour images. For example, a contour image of an image is created. A radial-polar grid having a plurality of radial-polar bins is then positioned on the contour image. A contour histogram descriptor is created to include a number of bins that correspond to the radial-polar bins of the radial-polar grid, where the contents of the bins of the contour histogram descriptor represent the number of pixels of the contour image that are located in the corresponding radial-polar bins of the radial-polar grid. Images are classified at least based in part on comparisons between contour histogram descriptors of the images and contour histogram descriptors of training images.

Abstract translation: 提供了系统和方法，用于创建表示图像中反映的对象轮廓的轮廓图像，计算轮廓图像的轮廓直方图描述符，以及部分地基于轮廓图像的直方图描述符对图像进行分类。 例如，创建图像的轮廓图像。 然后将具有多个径向极限箱的径向极化栅格定位在轮廓图像上。 创建轮廓直方图描述符以包括对应于径向极性网格的径向极化仓的多个仓，其中轮廓直方图描述符的仓的内容表示所位于的轮廓图像的像素数 在径向极化栅格的相应的径向极性仓中。 图像至少部分地基于图像的轮廓直方图描述符和训练图像的轮廓直方图描述符之间的比较。

公开(公告)号：US20150213061A1

公开(公告)日：2015-07-30

申请号：US14605669

申请日：2015-01-26

Applicant: A9.com, Inc.

Inventor： Arnab Sanat Kumar Dhua ,  Sunil Ramesh ,  Max Delgadillo ,  Raghavan Manmatha

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F17/30247 ,  G06F17/30259 ,  G06F17/30542 ,  G06F17/30867 ,  G06K9/46 ,  G06K9/6203

Abstract: Systems and approaches for searching a content collection corresponding to query content are provided. In particular, false positive match rates between the query content and the content collection may be reduced with a minimum content region test and/or a minimum features per scale test. For example, by correlating content descriptors of a content piece in the content collection with query descriptors of the query content, the content piece can be determined to match the query content when a particular region of the content piece and/or a particular region of a query descriptor have a proportionate size meeting or exceeding a specified minimum. Alternatively, or in addition, the false positive match rate between query content and a content piece can be reduced by comparing content descriptors and query descriptors of features at a plurality of scales. A content piece can be determined to match the query content according to descriptor proportion quotas for the plurality of scales.

Abstract translation: 提供了用于搜索与查询内容相对应的内容集合的系统和方法。 特别地，可以通过最小内容区域测试和/或每个比例测试的最小特征来减少查询内容和内容收集之间的假阳性匹配率。 例如，通过将内容集合中的内容片段的内容描述符与查询内容的查询描述符相关联，可以确定内容片段与内容片段的特定区域和/或内容片段的特定区域 查询描述符的比例大小满足或超过规定的最小值。 或者或另外，通过比较多个尺度的特征的内容描述符和查询描述符，可以减少查询内容与内容片段之间的假正匹配率。 可以根据多个尺度的描述符比例配额来确定内容片段以匹配查询内容。