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    METHOD FOR SYNTHESIZING IMAGE AND AN ELECTRONIC DEVICE USING THE SAME
    42.
    发明申请
    METHOD FOR SYNTHESIZING IMAGE AND AN ELECTRONIC DEVICE USING THE SAME 审中-公开

    公开(公告)号：US20170287127A1

    公开(公告)日：2017-10-05

    申请号：US15401739

    申请日：2017-01-09

    申请人： Samsung Electronics Co., Ltd.

    发明人： Jun-sung CHUNG ,  Sun-hwa KIM ,  Jae-young LEE ,  Gi-ppeum CHOI ,  Sun CHOI

    IPC分类号： G06T7/00 ,  G06T11/60

    CPC分类号： G06T7/0004 ,  G06F17/30 ,  G06F17/30247 ,  G06T7/194 ,  G06T11/60 ,  G06T2200/24 ,  G06T2207/20221 ,  G06T2207/30108

    摘要： An apparatus and method for synthesizing an image and an electronic apparatus using the method are provided. The electronic apparatus includes a memory that stores pictures, a transceiver that communicates with an external server, a display that detects a user interaction, and a processor that reads pictures from the memory. The processor first selects pictures based on a weighted value, determines first attribute information and second attribute information from the first selected pictures, stores the first attribute information and the second attribute information in a database form, second selects at least one picture from among the first selected pictures based on the first attribute information, the second attribute information and user context information, controls the transceiver to receive a product image corresponding to the second selected picture from the external server, and creates a composite image by synthesizing the second selected picture and the product image.

    Mobile terminal and controlling method thereof
    43.
    发明授权
    Mobile terminal and controlling method thereof 有权

    公开(公告)号：US09778825B2

    公开(公告)日：2017-10-03

    申请号：US14471885

    申请日：2014-08-28

    申请人： LG ELECTRONICS INC.

    发明人： Kyungmin Cho ,  Minah Song ,  Jeonghyun Lee

    IPC分类号： G06F3/0484 ,  G06F3/0482 ,  G06F3/0488 ,  G06F17/30

    CPC分类号： G06F3/0484 ,  G06F3/0482 ,  G06F3/04883 ,  G06F17/30247 ,  G06F17/30274 ,  G06F17/30277 ,  G06F17/30864

    摘要： A mobile terminal and controlling method thereof are disclosed. The present invention includes a display unit configured to display an image including at least one object on a screen and a controller searching for at least one associated information on the object using a partial image corresponding to the object in the image, the controller displaying the searched associated information. Accordingly, when a user searches for an information on a specific object in an image using an image search function, it is unnecessary for the user to crop a partial image corresponding to the specific object in the image one by one. Instead, a mobile terminal automatically recognizes the specific object in the image and is then able to search for at least one associated information on the specific object using a partial image of the automatically recognized specific object.

    VISUALIZATION OF IMAGE THEMES BASED ON IMAGE CONTENT
    44.
    发明申请
    VISUALIZATION OF IMAGE THEMES BASED ON IMAGE CONTENT 审中-公开

    公开(公告)号：US20170270970A1

    公开(公告)日：2017-09-21

    申请号：US15071154

    申请日：2016-03-15

    申请人： Google Inc.

    发明人： Bo-Jhang HO ,  Sevket Derin BABACAN

    IPC分类号： G11B27/036 ,  G06K9/00

    CPC分类号： G11B27/036 ,  G06F17/30247 ,  G06F17/30259 ,  G06K9/00288 ,  G06K9/00302

    摘要： Implementations relate to visualizations including images based on image content. In some implementations, a computer-implemented method includes obtaining a set of images, determining one or more pixel characteristics of the set of images, and determining one or more faces depicted in the plurality of images based on one or more pixel characteristics. The method selects a group of images of the set of images, where each image in the group of images depicts a different group of faces than depicted in the other images in the set of images. The method generates a visualization including the group of images, and provides the visualization to a user device in response to a user request to cause the group of images to be displayed by the user device.

    Method and apparatus for detecting incorrect associations between keypoints of a first image and keypoints of a second image
    45.
    发明授权
    Method and apparatus for detecting incorrect associations between keypoints of a first image and keypoints of a second image 有权

    公开(公告)号：US09767383B2

    公开(公告)日：2017-09-19

    申请号：US15224094

    申请日：2016-07-29

    申请人： Huawei Technologies Duesseldorf GmbH

    发明人： Nicola Piotto ,  Giovanni Cordara

    IPC分类号： G06K9/62 ,  G06F17/30 ,  G06K9/46

    CPC分类号： G06K9/6215 ,  G06F17/30247 ,  G06K9/4671 ,  G06K2009/6213

    摘要： The invention relates to a method (100) for detecting incorrect associations between keypoints of a first image and keypoints of a second image, the method (100) comprising associating (101) every keypoint of the first image with every keypoint of the second image to obtain global associations, determining (103) similarity measures for pairs of initial associations, determining (105) similarity measures for pairs of global associations, determining (107) a first number of pairs of initial associations having a similarity measure within a predetermined range, determining (109) a second number of pairs of global associations having a similarity measure within the predetermined range, and comparing (111) the first number of pairs with the second number of pairs to detect the incorrect associations. The invention further relates to an apparatus for detecting incorrect associations between keypoints of a first image and keypoints of a second image.

    ACCURATE TAG RELEVANCE PREDICTION FOR IMAGE SEARCH
    48.
    发明申请
    ACCURATE TAG RELEVANCE PREDICTION FOR IMAGE SEARCH 审中-公开

    公开(公告)号：US20170236055A1

    公开(公告)日：2017-08-17

    申请号：US15094633

    申请日：2016-04-08

    申请人： ADOBE SYSTEMS INCORPORATED

    发明人： ZHE LIN ,  XIAOHUI SHEN ,  JONATHAN BRANDT ,  JIANMING ZHANG ,  CHEN FANG

    IPC分类号： G06N3/08 ,  G06N3/04

    CPC分类号： G06N3/08 ,  G06F17/30247 ,  G06N3/0454 ,  G06N3/0472 ,  G06N99/005

    摘要： Embodiments of the present invention provide an automated image tagging system that can predict a set of tags, along with relevance scores, that can be used for keyword-based image retrieval, image tag proposal, and image tag auto-completion based on user input. Initially, during training, a clustering technique is utilized to reduce cluster imbalance in the data that is input into a convolutional neural network (CNN) for training feature data. In embodiments, the clustering technique can also be utilized to compute data point similarity that can be utilized for tag propagation (to tag untagged images). During testing, a diversity based voting framework is utilized to overcome user tagging biases. In some embodiments, bigram re-weighting can down-weight a keyword that is likely to be part of a bigram based on a predicted tag set.

    Sharing item images based on a similarity score
    49.
    发明授权
    Sharing item images based on a similarity score 有权

    公开(公告)号：US09727615B2

    公开(公告)日：2017-08-08

    申请号：US14950843

    申请日：2015-11-24

    申请人： eBay Inc.

    发明人： Xiaoyuan Wu ,  Alvaro Bolivar ,  Qiang Wang

    IPC分类号： G06F17/30 ,  G06Q30/02 ,  G06Q30/06

    CPC分类号： G06F17/30528 ,  G06F17/30247 ,  G06F17/3053 ,  G06Q30/0283 ,  G06Q30/0643

    摘要： Techniques for sharing item images based on a similarity score are described. For example, a machine receives an input item listing for an item from a user device. The machine accesses an existing image that may be associated with one or more existing item listings. The machine identifies a degree of similarity between the input item listing and the one or more existing item listings. The machine generates a similarity score for the existing image based on the degree of similarity. The machine selects one or more existing images corresponding to the one or more existing item listings based on the one or more existing images having corresponding similarity scores that exceed a threshold value. The machine transmits a communication to the user device in response to the receiving of the input item listing. The communication may include the one or more existing images.

    Object recognition of feature-sparse or texture-limited subject matter
    50.
    发明授权
    Object recognition of feature-sparse or texture-limited subject matter 有权

    公开(公告)号：US09720934B1

    公开(公告)日：2017-08-01

    申请号：US14209642

    申请日：2014-03-13

    申请人： A9.com, Inc.

    发明人： Simant Dube ,  Edward Hsiao

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30247 ,  G06K9/00805

    摘要： An object recognition system can be adapted to recognize subject matter having very few features or limited or no texture. A feature-sparse or texture-limited object can be recognized by complementing local features and/or texture features with color, region-based, shape-based, three-dimensional (3D), global, and/or composite features. Machine learning algorithms can be used to classify such objects, and image matching and verification can be adapted to the classification. Further, multiple modes of input can be integrated at various stages of the object recognition processing pipeline. These multi-modal inputs can include user feedback, additional images representing different perspectives of the object or specific regions of the object including a logo or text corresponding to the object, user behavior data, location, among others.