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公开(公告)号：US11860928B2
公开(公告)日：2024-01-02
申请号：US17406893
申请日：2021-08-19
Applicant: International Business Machines Corporation
Inventor： Xiaoxiao Guo , Hui Wu , Rogerio Feris
IPC: G06F16/00 , G06F16/53 , G06F16/332 , G06F16/383 , G06N3/049 , G06F16/535 , G06F18/21 , G06V10/70 , G06V10/82 , G06V40/10
CPC classification number: G06F16/53 , G06F16/3328 , G06F16/3329 , G06F16/383 , G06F16/535 , G06F18/2185 , G06N3/049 , G06V10/768 , G06V10/82 , G06V40/103
Abstract: A method includes receiving input from a client at least partially specifying one or more characteristics, wherein the initial input includes a seed image and a natural language statement describing a desired change to the seed image; predicting one or more attributes of the seed image by operation of a neural network on the seed image; and parsing the natural language statement to identify desired changes to the one or more attributes of the seed image. The method also includes generating an interim target image by changing the one or more attributes of the seed image, according to the parsed natural language statement; selecting a set of images from an image database for output to the client, each of said set of images being determined to at least partially satisfy the one or more changed attributes of the seed image; and displaying the set of images to the client.
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公开(公告)号：US10977303B2
公开(公告)日：2021-04-13
申请号：US15927309
申请日：2018-03-21
Applicant: International Business Machines Corporation
Inventor： Hui Wu , Rogerio S. Feris , Yu Cheng , Xiaoxiao Guo
IPC: G06F7/02 , G06F16/00 , G06F16/583 , G06F16/242 , G06F16/951 , G06F40/253
Abstract: A search engine is modified to perform increasingly precise image searching using iterative Natural Language (NL) interactions. From an NL search input, the modification extracts a set of input features, which includes a set of response features corresponding to an NL statement in the NL search input and a set of image features from a seed image in the NL search input. The modification performs image analysis on an image result in a result set of a query including at least some of the input features. In a next iteration of NL interactions, at least some of the result set is provided. An NL response in the iteration is added to a cumulative NL basis, and a revised result set is provided, which includes a new image result corresponding to a new response feature extracted from the cumulative NL basis.
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公开(公告)号：US10664894B2
公开(公告)日：2020-05-26
申请号：US15610797
申请日：2017-06-01
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Hui Wu
Abstract: Product recommendations are provided to a target user that take into account the style, interests, and hobbies of the target user and a desire by the target user to be unique from the target user's social group. In some aspects, a list of recommended products may be generated for the target user based on data about the target user's purchasing habits, social media interactions, or any other data. A list of products associated with users in the target user's social group may also be generated, for example, based on products purchased, currently worn by, or previously worn by the users in the target user's social group. A uniqueness-aware list of recommended products may then be generated from the list of recommended products by removing any products found in both the list of recommended products and the list of products associated with users in the target user's social group.
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Patent Agency Ranking
公开(公告)号：US10528793B2
公开(公告)日：2020-01-07
申请号：US15852082
申请日：2017-12-22
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Jonathan H. Connell, II , Hariklia Deligianni , Nalini K. Ratha , Vince Siu , Hui Wu
IPC: G06K9/00 , G06F17/30 , G01N33/02 , G06F16/435 , G06F16/583 , G06F16/9038
Abstract: A method of displaying information relating to an allergen present in a food substance together with a user profile, the method including capturing an image of a scene, segmenting the image to determining at least a segmentation of the food substance in the image, determining a classification of the food substance using the segmentation, determining a presence of the allergen in the food substance using the classification of the food substance and a database of allergens and food substances, determining a risk to a user using the user profile specifying a user sensitivity to the allergen, and displaying an output including a view of the user profile and the image, wherein the image is augmented to identify the presence of the allergen.
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公开(公告)号：US20190294702A1
公开(公告)日：2019-09-26
申请号：US15927309
申请日：2018-03-21
Applicant: International Business Machines Corporation
Inventor： Hui Wu , Rogerio S. Feris , Yu Cheng , Xiaoxiao Guo
IPC: G06F17/30
Abstract: A search engine is modified to perform increasingly precise image searching using iterative Natural Language (NL) interactions. From an NL search input, the modification extracts a set of input features, which includes a set of response features corresponding to an NL statement in the NL search input and a set of image features from a seed image in the NL search input. The modification performs image analysis on an image result in a result set of a query including at least some of the input features. In a next iteration of NL interactions, at least some of the result set is provided. An NL response in the iteration is added to a cumulative NL basis, and a revised result set is provided, which includes a new image result corresponding to a new response feature extracted from the cumulative NL basis.
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公开(公告)号：US20180349977A1
公开(公告)日：2018-12-06
申请号：US15610797
申请日：2017-06-01
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Hui Wu
CPC classification number: G06Q30/0631 , G06N3/08 , G06N5/022 , G06N20/00 , G06Q30/0643 , G06Q50/01
Abstract: Product recommendations are provided to a target user that take into account the style, interests, and hobbies of the target user and a desire by the target user to be unique from the target user's social group. In some aspects, a list of recommended products may be generated for the target user based on data about the target user's purchasing habits, social media interactions, or any other data. A list of products associated with users in the target user's social group may also be generated, for example, based on products purchased, currently worn by, or previously worn by the users in the target user's social group. A uniqueness-aware list of recommended products may then be generated from the list of recommended products by removing any products found in both the list of recommended products and the list of products associated with users in the target user's social group.
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公开(公告)号：US20180089540A1
公开(公告)日：2018-03-29
申请号：US15273872
申请日：2016-09-23
Applicant: International Business Machines Corporation
Inventor： Michele Merler , John R. Smith , Rosario A. Uceda-Sosa , Hui Wu
CPC classification number: G06K9/66 , G06K9/627 , G06K9/6277 , G06K9/628 , G06K9/6285 , H05K999/99
Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.
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公开(公告)号：US09928448B1
公开(公告)日：2018-03-27
申请号：US15273872
申请日：2016-09-23
Applicant: International Business Machines Corporation
Inventor： Michele Merler , John R. Smith , Rosario A. Uceda-Sosa , Hui Wu
CPC classification number: G06K9/66 , G06K9/627 , G06K9/6277 , G06K9/628 , G06K9/6285 , H05K999/99
Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.
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