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公开(公告)号：US11501514B2
公开(公告)日：2022-11-15
申请号：US17067381
申请日：2020-10-09
Applicant: A9.com, Inc.
Inventor： Hao-Yu Wu , Tian Cao , Bhargava Urala Kota , Mehmet Nejat Tek
IPC: G06V10/20 , G06F16/583 , G06N5/04
Abstract: Large scale instance recognition is provided that can take advantage of channel-wise pooling. A received query image is processed to extract a set of features that can be used to generate a set of region proposals. The proposed regions of image data are processed using a trained classifier to classify the regions as object or non-object regions. Extracted features for the object regions are processed using feature correlation against extracted features for a set of object images, each representing a classified object. Matching tensors generated from the comparison are processed using a spatial verification network to determine match scores for the various object images with respect to a specific object region. The match scores are used to determine which objects, or types of objects, are represented in the query image. Information or content associated with the matching objects can be provided as part of a response.
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Patent Agency Ranking
公开(公告)号：US09390315B1
公开(公告)日：2016-07-12
申请号：US14750855
申请日：2015-06-25
Applicant: A9.com, Inc.
Inventor： Ismet Zeki Yalniz , Colin Jon Taylor , Mehmet Nejat Tek , Shanghsuan Tsai
CPC classification number: G06K9/4652 , G06K9/00208 , G06K9/4609 , G06K9/4676 , G06K9/6202 , G06K9/6211 , G06T7/11 , G06T7/60 , G06T7/90 , G06T2207/10004
Abstract: Object identification through image matching can utilize ratio and other data to accurately identify objects having relatively few feature points otherwise useful for identifying objects. An initial image analysis attempts to locate a “scalar” in the image, such as may include a label, text, icon, or other identifier that can help to narrow a classification of the search, as well as to provide a frame of reference for relative measurements obtained from the image. By comparing the ratios of dimensions of the scalar with other dimensions of the object, it is possible to discriminate between objects containing that scalar in a way that is relatively robust to changes in viewpoint. A ratio signature can be generated for an object for use in matching, while in other embodiments a classification can identify priority ratios that can be used to more accurately identify objects in that classification.
Abstract translation: 通过图像匹配的对象识别可以利用比率和其他数据来准确地识别具有相对较少的特征点的对象，否则对识别对象是有用的。 初始图像分析尝试在图像中定位“标量”，例如可以包括可以帮助缩小搜索分类的标签，文本，图标或其他标识符，以及提供用于 从图像获得的相对测量值。 通过将标量的维数与对象的其他维度进行比较，可以以对视点变化相对鲁棒的方式来区分包含该标量的对象。 可以针对用于匹配的对象生成比例签名，而在其他实施例中，分类可以标识可用于更精确地识别该分类中的对象的优先级比。
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公开(公告)号：US20210027085A1
公开(公告)日：2021-01-28
申请号：US17067381
申请日：2020-10-09
Applicant: A9.com, Inc.
Inventor： Hao-Yu Wu , Tian Cao , Bhargava Urala Kota , Mehmet Nejat Tek
IPC: G06K9/32 , G06N5/04 , G06F16/583
Abstract: Large scale instance recognition is provided that can take advantage of channel-wise pooling. A received query image is processed to extract a set of features that can be used to generate a set of region proposals. The proposed regions of image data are processed using a trained classifier to classify the regions as object or non-object regions. Extracted features for the object regions are processed using feature correlation against extracted features for a set of object images, each representing a classified object. Matching tensors generated from the comparison are processed using a spatial verification network to determine match scores for the various object images with respect to a specific object region. The match scores are used to determine which objects, or types of objects, are represented in the query image. Information or content associated with the matching objects can be provided as part of a response.
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公开(公告)号：US11238515B1
公开(公告)日：2022-02-01
申请号：US16265389
申请日：2019-02-01
Applicant: A9.com, Inc.
Inventor： Krystle Elaine de Mesa , Aishwarya Natesh , Andrea Joyce Diane Zehr , Rupa Chaturvedi , Mehmet Nejat Tek , Julie Chang
IPC: G06Q30/00 , G06Q30/06 , G06F16/9535 , G06K9/62
Abstract: The present embodiments provide visual search techniques which produces results that include both accurate similar items as well diversified items through attribute manipulation. In some embodiments, a feature vector describing the item of interest is obtained. A target feature vector is then generated at least partially from the original feature vector, in which the target feature vector shares only a subset of attribute values with the original feature vector and includes at least some values that are different from the original feature vector. An electronic catalog of items is then queried using the target feature vector, and a set of candidate items are determined from the electronic catalog based at least in part on similarity to the target feature vector. The original feature vector may be used to query for a set of similar items that are as similar as possible to the item of interest.
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公开(公告)号：US10210423B2
公开(公告)日：2019-02-19
申请号：US15166973
申请日：2016-05-27
Applicant: A9.com, Inc.
Inventor： Ismet Zeki Yalniz , Colin Jon Taylor , Mehmet Nejat Tek , Shanghsuan Tsai
Abstract: Object identification through image matching can utilize ratio and other data to accurately identify objects having relatively few feature points otherwise useful for identifying objects. An initial image analysis attempts to locate a “scalar” in the image, such as may include a label, text, icon, or other identifier that can help to narrow a classification of the search, as well as to provide a frame of reference for relative measurements obtained from the image. By comparing the ratios of dimensions of the scalar with other dimensions of the object, it is possible to discriminate between objects containing that scalar in a way that is relatively robust to changes in viewpoint. A ratio signature can be generated for an object for use in matching, while in other embodiments a classification can identify priority ratios that can be used to more accurately identify objects in that classification.
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公开(公告)号：US10109051B1
公开(公告)日：2018-10-23
申请号：US15196644
申请日：2016-06-29
Applicant: A9.com, Inc.
Inventor： Aishwarya Natesh , Arnab Sanat Kumar Dhua , Ming Du , R. Manmatha , Colin Jon Taylor , Mehmet Nejat Tek
Abstract: Images may be analyzed to determine a visually cohesive color palette, for example by comparing a subset of the colors most frequently appearing in the image to a plurality of color schemes (e.g., complementary, analogous, etc.), and potentially modifying one or more of the subset of colors to more accurately fit the selected color scheme. Various regions of the image are selected and portions of the regions having one or more colors of the color palette are extracted and classified to generate and compare feature vectors of the patches to previously-determined feature vectors of items to identify visually similar items. The visually similar items are selected for presentation in various ways, such as by choosing an outfit of visually-similar apparel items based on the locations of the corresponding colors in the image, etc.
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