公开(公告)号：US12002077B2

公开(公告)日：2024-06-04

申请号：US16729438

申请日：2019-12-29

申请人： eBay Inc.

发明人： Hoang Trinh ,  Huy Quang Nguyen

IPC分类号： G06V10/762 ,  G06F3/0482 ,  G06F16/55 ,  G06F16/58 ,  G06F18/22 ,  G06F18/23 ,  G06Q30/0601 ,  G06V10/56 ,  G06V10/74 ,  G06V10/75 ,  G06V10/764 ,  G06V40/10 ,  G06V40/20

CPC分类号： G06Q30/0603 ,  G06F3/0482 ,  G06F16/55 ,  G06F16/5866 ,  G06F18/22 ,  G06F18/23 ,  G06V10/56 ,  G06V10/758 ,  G06V10/761 ,  G06V10/763 ,  G06V10/764 ,  G06V40/10 ,  G06V40/20

摘要： A machine is configured to automatically generate listings for multiple items. For example, the machine receives, from a client device, two or more images and two or more descriptions. The two or more images depict two or more items. The two or more descriptions pertain to the two or more items. The machine matches one or more images of the two or more images to a description of the two or more descriptions. The one or more images depict an item of the two or more items. The description pertains to the item. The machine, based on the matching, generates a listing of the item. The listing includes the one or more images depicting the item, and the description pertaining to the item. The machine causes display of the listing of the item in a user interface.

公开(公告)号：US11901077B2

公开(公告)日：2024-02-13

申请号：US17376796

申请日：2021-07-15

申请人： HOFFMANN-LA ROCHE INC.

发明人： Eldad Klaiman ,  Jacob Gildenblat

IPC分类号： G16H15/00 ,  G16H50/20 ,  G16H30/40 ,  G06F3/0482 ,  G06V20/69 ,  G06F18/214 ,  G06F18/22 ,  G06F18/40 ,  G06F18/21 ,  G06V10/762 ,  G06V10/774 ,  G06V10/80 ,  G06V10/44

CPC分类号： G16H50/20 ,  G06F3/0482 ,  G06F18/214 ,  G06F18/217 ,  G06F18/2163 ,  G06F18/22 ,  G06F18/40 ,  G06V10/454 ,  G06V10/763 ,  G06V10/774 ,  G06V10/809 ,  G06V20/695 ,  G06V20/698 ,  G16H30/40 ,  G06V2201/03

摘要： The method includes receiving digital images of tissue samples of patients, the images having assigned a label indicating a patient-related attribute value; splitting each received image into a set of image tiles; computing a feature vector for each tile; training a Multiple-Instance-Learning program on all the tiles and respective feature vectors for computing for each of the tiles a numerical value being indicative of the predictive power of the feature vector associated with the tile in respect to the label of the tile's respective image; and outputting a report gallery including tiles sorted in accordance with their respectively computed numerical value and/or including a graphical representation of the numerical value.

公开(公告)号：US11887310B2

公开(公告)日：2024-01-30

申请号：US17078086

申请日：2020-10-22

申请人： Apple Inc.

发明人： Vignesh Jagadeesh ,  Atila Orhon

IPC分类号： G06T7/00 ,  G06T7/11 ,  G06T7/10 ,  G06F17/18 ,  G06N20/00 ,  G06N3/047 ,  G06V10/762 ,  G06V10/77 ,  G06V10/82

CPC分类号： G06T7/11 ,  G06F17/18 ,  G06N3/047 ,  G06N20/00 ,  G06T7/10 ,  G06V10/763 ,  G06V10/7715 ,  G06V10/82

摘要： A first subset of pixels of an image may be labeled with an object identifier based on user interactions with the image. Pixel data representing the pixels of the image may be passed through an embedding neural network model to generate pixel embedding vectors. A prototype embedding vector associated with the object identifier may be generated based pixel embedding vectors corresponding to the first subset of pixels. For each pixel of a second subset of pixels of the image, a probability that the pixel should be labeled with the object identifier may be determined based on the prototype embedding vector and pixel embedding vectors corresponding to the second subset of pixels. Pixels of the second subset of pixels may be labeled with the object identifier based on the determined probabilities, and the pixels in the image may be segmented based on the pixels labeled with the object identifier.

公开(公告)号：US20240029442A1

公开(公告)日：2024-01-25

申请号：US17872112

申请日：2022-07-25

申请人： Dalong Li ,  Rohit S Paranjpe ,  Stephen Horton

发明人： Dalong Li ,  Rohit S Paranjpe ,  Stephen Horton

IPC分类号： G06V20/56 ,  G06V10/774 ,  G06V10/80 ,  G06V10/778 ,  G06V10/762 ,  G06V10/764 ,  G06V10/776

CPC分类号： G06V20/56 ,  G06V10/774 ,  G06V10/806 ,  G06V10/7796 ,  G06V10/763 ,  G06V10/764 ,  G06V10/776

摘要： Vehicle perception techniques include obtaining a training dataset represented by N training histograms, in an image feature space, corresponding to N training images, K-means clustering the N training histograms to determine K clusters with respective K respective cluster centers, wherein K and N are integers greater than or equal to one and K is less than or equal to N, comparing the N training histograms to their respective K cluster centers to determine maximum in-class distances for each of K clusters, applying a deep neural network (DNN) to input images of the set of inputs to output detected/classified objects with respective confidence scores, obtaining adjusted confidence scores by adjusting the confidence scores output by the DNN based on distance ratios of (i) minimal distances of input histograms representing the input images to the K cluster centers and (ii) the respective maximum in-class.

公开(公告)号：US20240013380A1

公开(公告)日：2024-01-11

申请号：US18332927

申请日：2023-06-12

申请人： Hubei Provincial Tobacco Research Institute

发明人： Chunlei YANG ,  Guangwei SUN ,  Jinpeng YANG ,  Jun YU ,  Xiongfei Rao ,  Wencan PEI ,  Xiaowei LIU ,  Jing LIU ,  Jinguo HUANG

IPC分类号： G06T7/00 ,  G06T7/90 ,  G06T5/00 ,  G06V10/30 ,  G06V10/762 ,  G06V10/774

CPC分类号： G06T7/0012 ,  G06T7/90 ,  G06T5/002 ,  G06V10/30 ,  G06V10/763 ,  G06V10/774 ,  G06T2207/20081 ,  G06T2207/20182 ,  G06T2207/30188

摘要： A cigar tobacco leaf harvesting maturity identification method and system based on integrated learning are provided. The method comprises: acquiring an image of a cigar tobacco leaf to be detected, and preprocessing the image of the cigar tobacco leaf to be detected; carrying out vectorization dimensionality reduction on the preprocessed image of the cigar tobacco leaf to be detected, and extracting RGB and HSV eigenvalues to obtain a feature set; carrying out feature dimensionality reduction on data in the feature set by using a Wrapper algorithm to obtain an initial data set of the image of the cigar tobacco leaf to be detected; and inputting the initial data set into a trained random forest model, and outputting a maturity identification result of the image of the cigar tobacco leaf.

公开(公告)号：US20230419685A1

公开(公告)日：2023-12-28

申请号：US18460306

申请日：2023-09-01

申请人： QUALCOMM Incorporated

发明人： Onkar Jayant DABEER ,  Kiran SOMASUNDARAM ,  Radhika Dilip GOWAIKAR ,  Ravi Teja SUKHAVASI

IPC分类号： G06V20/58 ,  G01C21/36 ,  G06V20/10 ,  G06V20/56 ,  G01C21/00 ,  G06F18/231 ,  G06F18/22 ,  G06F18/2135 ,  G06F18/23213 ,  G06V10/762 ,  G06V10/77 ,  G01C21/30 ,  G06T17/05

CPC分类号： G06V20/582 ,  G01C21/3602 ,  G06V20/10 ,  G06V20/588 ,  G01C21/3867 ,  G01C21/3881 ,  G06F18/231 ,  G06F18/22 ,  G06F18/2135 ,  G06F18/23213 ,  G06V10/7625 ,  G06V10/763 ,  G06V10/7715 ,  G06V20/56 ,  G01C21/30 ,  G06T17/05

摘要： A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.

公开(公告)号：US20230410463A1

公开(公告)日：2023-12-21

申请号：US18037723

申请日：2021-11-19

申请人： Huawei Technologies Co., Ltd.

发明人： Maosen Zhou ,  Yanlin Qian ,  Minggui He ,  Kang Qian ,  Yongxing Yang ,  Miaofeng Wang

IPC分类号： G06V10/60 ,  G06T7/90 ,  G06V10/764 ,  G06V10/762 ,  G06V10/56 ,  G06V10/143 ,  G06V10/774 ,  G06V10/74

CPC分类号： G06V10/60 ,  G06T7/90 ,  G06V10/764 ,  G06V10/763 ,  G06V10/56 ,  G06V10/143 ,  G06V10/774 ,  G06V10/761 ,  G06T2207/10024 ,  G06T2207/10036 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20072

摘要： A method for obtaining a light source spectrum includes: obtaining first information in a current photographing scene, where the first information includes at least one of a first image generated by a red, green, and blue (RGB) sensor or a light intensity of light received by each pixel on a first multispectral sensor; inputting the first information into a first model to obtain a probability that a light source in the current photographing scene belongs to each type of light source; and determining a spectrum of the light source in the current photographing scene based on the probability that the light source in the current photographing scene belongs to each type of light source and a spectrum of each type of light source.

公开(公告)号：US11847800B2

公开(公告)日：2023-12-19

申请号：US18067838

申请日：2022-12-19

申请人： CaaStle, Inc.

发明人： Steven Sesshu Shimozaki

IPC分类号： G06T7/90 ,  G06F16/51 ,  G06F16/583 ,  G06T7/70 ,  G06T7/60 ,  G06T7/194 ,  G06V20/10 ,  G06V40/16 ,  G06F18/24 ,  G06V10/42 ,  G06V10/75 ,  G06V10/762

CPC分类号： G06T7/90 ,  G06F16/51 ,  G06F16/583 ,  G06F18/24 ,  G06T7/194 ,  G06T7/60 ,  G06T7/70 ,  G06V10/431 ,  G06V10/76 ,  G06V10/763 ,  G06V20/10 ,  G06V40/161 ,  G06V40/172 ,  G06T2207/20056

摘要： Disclosed are methods, systems, and non-transitory computer-readable medium for color and pattern analysis of images including wearable items. For example, a method may include receiving an image depicting a wearable item, identifying the wearable item within the image by identifying a face of an individual wearing the wearable item or segmenting a foreground silhouette of the wearable item from background image portions of the image, determining a portion of the wearable item identified within the image as being a patch portion representative of the wearable item depicted within the image, deriving one or more patterns of the wearable item based on image analysis of the determined patch portion of the image, deriving one or more colors of the wearable item based on image analysis of the determined patch portion of the image, and transmitting information regarding the derived one or more colors and information regarding the derived one or more patterns.

公开(公告)号：US11783521B2

公开(公告)日：2023-10-10

申请号：US17956909

申请日：2022-09-30

申请人： Google LLC

发明人： Dominick Lim ,  Kristi Bohl ,  Jason Chang ,  Vidya Valmikinathan ,  Taehee Lee ,  Jeremy Zhu

IPC分类号： G06T11/60 ,  G06V20/00 ,  G06F18/23 ,  G06F3/048 ,  G06F16/55 ,  G06F16/58 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  G06Q50/10 ,  G06F16/75 ,  G06F16/78 ,  G06F18/23211 ,  G06T5/50 ,  G06V10/762

CPC分类号： G06T11/60 ,  G06F18/23 ,  G06V20/00 ,  G06F3/048 ,  G06F16/55 ,  G06F16/5866 ,  G06F16/75 ,  G06F16/7867 ,  G06F18/23211 ,  G06Q50/10 ,  G06T5/50 ,  G06T2200/24 ,  G06T2207/20221 ,  G06V10/763 ,  G06V20/30 ,  G06V20/47 ,  G06V40/173

摘要： Implementations described herein relate to methods, devices, and computer-readable media to generate and provide image-based creations. A computer-implemented method includes obtaining a plurality of episodes, each episode associated with a corresponding time period and including a respective set of images and person identifiers for each image. The method further includes forming a respective cluster for each episode that includes at least two person identifiers. The method further includes determining whether one or more person identifiers are included in less than a threshold number of clusters, and in response, removing the one or more person identifiers from the clusters that the one or more person identifiers that are included in. The method further includes merging identical clusters to obtain a plurality of people groups that each include two or more person identifiers and providing a user interface that includes an image-based creation based on a particular people group.

公开(公告)号：US20230316710A1

公开(公告)日：2023-10-05

申请号：US17707612

申请日：2022-03-29

申请人： HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

发明人： SATISH KUMAR MOPUR ,  Gunalan Perumal Vijayan ,  Shounak Bandopadhyay ,  Krishnaprasad Lingadahalli Shastry

IPC分类号： G06V10/762 ,  G06V10/776 ,  G06V10/82 ,  G06N3/04

CPC分类号： G06V10/763 ,  G06V10/776 ,  G06V10/82 ,  G06N3/0454

摘要： Systems and methods are provided for implementing a Siamese neural network using improved “sub” neural networks and loss function. For example, the system can detect a granular change in images using a Siamese Neural Network with Convolutional Autoencoders as the twin sub networks (e.g., Siamese AutoEncoder or “SAE”). In some examples, the loss function may be an adaptive loss function to the SAE network rather than a contrastive loss function, which can help enable smooth control of granularity of change detection across the images. In some examples, an image separation distance value may be calculated to determine the value of change between the image pairs. The image separation distance value may be determined using an Euclidean distance associated with a latent space of an encoder portion of the autoencoder of the neural networks.