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公开(公告)号：US20240168993A1
公开(公告)日：2024-05-23
申请号：US18529185
申请日：2023-12-05
发明人： Huguens Jean , Yoriyasu Yano , Hui Peng Hu , Kuang Chen
IPC分类号： G06F16/583 , G06V10/46 , G06V10/772 , G06V10/80 , G06V30/418
CPC分类号： G06F16/5838 , G06F16/5846 , G06F16/5854 , G06V10/462 , G06V10/464 , G06V10/772 , G06V10/817 , G06V30/418
摘要： Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
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42.发明公开公开(公告)号：US20240161179A1
公开(公告)日：2024-05-16
申请号：US18421653
申请日：2024-01-24
申请人： Snap Inc.
IPC分类号： G06Q30/0601 , G06F16/583 , G06K7/14 , G06Q20/32
CPC分类号： G06Q30/0643 , G06F16/5854 , G06K7/1413 , G06Q20/3267 , G06Q20/3274
摘要： The subject technology receives image data including a representation of a physical item. The subject technology analyzes the image data to determine an object corresponding to the physical item. The subject technology extracts product metadata based on the determined object. The subject technology sends, to a server, the product metadata to determine second product metadata associated with the product metadata. The subject technology receives, from the server, the second product metadata, the second product metadata including additional information related to the physical item. The subject technology causes display, at a client device, the additional information related to the physical item based at least in part on the second product metadata.
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公开(公告)号：US20240152548A1
公开(公告)日：2024-05-09
申请号：US18377900
申请日：2023-10-09
发明人： Hyeon Mok KO , Hyung Rai OH , Hong Chul KIM , Silas JEON , In-Chul HWANG
IPC分类号： G06F16/583 , G06F16/532 , G06F16/535 , G06F16/58 , G06F18/214 , G06N20/00
CPC分类号： G06F16/583 , G06F16/532 , G06F16/535 , G06F16/5854 , G06F16/5866 , G06F18/214 , G06N20/00
摘要： The disclosure relates to an artificial intelligence (AI) system using a machine learning algorithm such as deep learning and the like, and an application thereof. In particular, there is provided a control method for an electronic apparatus for searching for an image, the method comprising displaying an image comprising at least one object, detecting a user input for selecting an object, recognizing an object displayed at a point at which the user input is detected and acquiring information regarding the recognized object by using a recognition model trained to acquire information regarding an object, displaying a list including the information regarding the object, and based on one piece of information being selected from the information regarding the object included in the list, providing a related image by searching for the related image based on the selected information.
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44.发明公开公开(公告)号：US20240143651A1
公开(公告)日：2024-05-02
申请号：US18574234
申请日：2021-10-19
发明人： Lin Huang , Shusheng Guo , Zhenxue Hou , Chuan Fan , Danian Xu , Da Sheng , Wei Long , Guohua Zhang , Jiajie Cheng , Dong Li , Zhang Zhang , Lu Yin , Chaohua Zhang , Guibin Zhang
IPC分类号： G06F16/583 , G06F16/51
CPC分类号： G06F16/583 , G06F16/51
摘要： The present disclosure relates to the field of image definition recognition, and discloses a logging image definition recognition method and device, medium and electronic equipment. The method comprises: establishing a logging image sample library comprising a plurality of logging images; acquiring actual definition information corresponding to the respective logging images; acquiring a plurality of definitions corresponding to the respective logging images; determining target weights corresponding to the respective target image definition determination algorithms according to the plurality of definitions and the actual definition information corresponding to the respective logging images; and determining a definition of a target logging image by the respective target image definition determination algorithms and the target weights corresponding to the respective target image definition determination algorithms.
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公开(公告)号：US20240126808A1
公开(公告)日：2024-04-18
申请号：US18548039
申请日：2021-12-20
发明人： Lei HAO , Yu WANG , Min WANG , Songcen XU , Weicai ZHONG , Zhenhua ZHAO
IPC分类号： G06F16/538 , G06F16/583
CPC分类号： G06F16/538 , G06F16/5854
摘要： In one example method, a first image including M objects is obtained. For N objects in the M objects, when N is greater than or equal to 2, arrangement orders of the N objects is determined, where an arrangement order of any one of the N objects is determined based on at least one of a scene intent weight, a confidence score, or an object relationship score. The scene intent weight is used to indicate a probability that the any object is searched in a scene corresponding to the first image, the confidence score is a similarity between the any object and an image in an image library, and the object relationship score is used to indicate importance of the any object in the first image. Search results of some or all of the N objects are fed back according to the arrangement orders of the N objects.
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公开(公告)号：US11960532B2
公开(公告)日：2024-04-16
申请号：US18169017
申请日：2023-02-14
发明人： Ping Zhang , Wei Su , Ling Deng , Ting Lei
IPC分类号： G06F16/583 , G06F16/54 , G06F16/55
CPC分类号： G06F16/583 , G06F16/54 , G06F16/55
摘要： An image management method includes: after a video stream sent by a camera is obtained, recognizing a face image in the video stream through face recognition; comparing the image with a face image that is in an area in which the camera is located in a database; and if the comparison fails, expanding the area in which the camera is located around, and then comparing the face image with face images in an area obtained after the area in which the camera is located is expanded.
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公开(公告)号：US11960528B1
公开(公告)日：2024-04-16
申请号：US17937132
申请日：2022-09-30
发明人： Aditya Deorha , Xiaofan Lin , Shashank Shekhar
IPC分类号： G06F16/532 , G06F16/538 , G06F16/583
CPC分类号： G06F16/532 , G06F16/538 , G06F16/5846
摘要： When a first search query including an image of an item is received to search for items associated with similar images, a second search query that includes text based on the image is generated. The text may be based on previous queries associated with the depicted item, visual features of the image, or text that is present in the image. The results from the first search query are scored based on their correspondence with the image of the item. Results having a score greater than a threshold are presented first in the output, followed by a selected number of results from the second search query. Results from the first search query that are associated with a score less than the threshold may be presented after the results from the second search query. This presentation increases the likelihood that items presented earlier in the output are relevant to the initial query.
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公开(公告)号：US11954145B2
公开(公告)日：2024-04-09
申请号：US17354786
申请日：2021-06-22
发明人： Varshanth Ravindra Rao , Md Ibrahim Khalil , Peng Dai , Juwei Lu
IPC分类号： G06F16/53 , G06F16/51 , G06F16/55 , G06F16/583 , G06V10/74
CPC分类号： G06F16/55 , G06F16/51 , G06F16/53 , G06F16/583 , G06V10/74
摘要： Methods, systems, and media for image searching are described. Images comprising one query image and a plurality of candidate images are received. For each candidate image, a first model similarity measure from an output of a first model configured for scene classification to perceive scenes in the images is determined. Further, for each candidate image of the plurality of candidate images, a second model similarity measure from the output of a second model configured for attribute classification to perceive attributes in the images is determined. For each candidate image of the plurality of candidate images, a similarity agglomerate index of a weighted aggregate of the first model similarity measure and the second model similarity measure is computed. The plurality of candidate images based on the respective similarity agglomerate index of each candidate image are ranked and a first ranked candidate images corresponding to the searched images are generated.
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公开(公告)号：US11947634B2
公开(公告)日：2024-04-02
申请号：US17463621
申请日：2021-09-01
申请人： Footprintku Inc.
发明人： Yan-Jhih Wang , Kuan-Hsiang Tseng , Jun-Qiang Wei , Shih-Feng Huang , Tzung-Pei Hong , Yi-Ting Chen
IPC分类号： G06F18/2431 , G06F16/55 , G06F16/583 , G06F18/2413
CPC分类号： G06F18/2431 , G06F16/55 , G06F16/583 , G06F18/2413
摘要： An image object classification method and system are disclosed. The method is executed by a processor coupled to a memory. The method includes: providing an image file including at least one image object, performing a process of extracting multiple binary-classified characteristics on the image object to obtain a plurality of first results independent of each other in categories, combining the plurality of first results in a manner of dimensionality reduction based on concatenation, performing a process of characteristics abstraction on the combined first results to obtain a second result, and performing a process of characteristics integration on the plurality of first results and the second result in a manner of dot product of matrices to obtain a classification result.
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公开(公告)号：US11947591B2
公开(公告)日：2024-04-02
申请号：US17049452
申请日：2018-09-18
申请人： Google LLC
发明人： David Karam , Li Zhang , Ariel Gilder , Yuzo Watanabe , Eric Penner , Farooq Ahmad , Hartwig Adam
IPC分类号： G06N20/00 , G06F16/535 , G06F16/55 , G06F16/583
CPC分类号： G06F16/583 , G06F16/535 , G06F16/55 , G06N20/00
摘要： The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.
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