公开(公告)号：US20190197561A1

公开(公告)日：2019-06-27

申请号：US16310157

申请日：2017-06-28

申请人： Trax Technology Solutions Pte Ltd

发明人： Yair ADATO ,  Yotam MICHAEL ,  Aviv EISENSCHTAT ,  Ziv MHABARY ,  Dolev POMERANZ ,  Nir HEMED

IPC分类号： G06Q30/00 ,  G06Q30/02 ,  G06K9/00 ,  G06T7/73 ,  G06K9/62 ,  G06K9/20 ,  G06T7/00

CPC分类号： G06Q30/018 ,  G06K9/00671 ,  G06K9/2063 ,  G06K9/2072 ,  G06K9/3241 ,  G06K9/6289 ,  G06K2209/25 ,  G06Q10/08 ,  G06Q30/0207 ,  G06Q30/0236 ,  G06Q30/0238 ,  G06T7/0002 ,  G06T7/73

摘要： This disclosure relates to systems, methods, and devices that can identify products on a shelf, and determine item descriptions and pricing from associated labels. In one embodiment, an image processing system for providing an indication about shelf label accuracy in a store is provided. The image processing system comprises at least one processor configured to receive, from a hand-held device, an image depicting products on store shelves, and associated labels coupled to the store shelves. The processor can be configured to process the image to identify at least some of the products and to access a database to determine associated product ID numbers. The processor can be further configured to determine product identifier and displayed price from the associated labels. The processor can also be configured to determine one or more product-label mismatches related to incorrect product placement on the shelf and to provide electronic notification of the mismatches.

公开(公告)号：US20190108420A1

公开(公告)日：2019-04-11

申请号：US16199270

申请日：2018-11-26

申请人： International Business Machines Corporation

发明人： Sivan Harary ,  Leonid Karlinsky ,  Mattias Marder ,  Joseph Shtok ,  Asaf Tzadok

IPC分类号： G06K9/62 ,  G06N5/04 ,  G06N99/00 ,  G06F17/30 ,  G06K9/46

CPC分类号： G06K9/6267 ,  G06F16/51 ,  G06F16/5838 ,  G06F16/5866 ,  G06K9/00624 ,  G06K9/00691 ,  G06K9/4604 ,  G06K9/4628 ,  G06K9/6274 ,  G06K9/6276 ,  G06K9/6296 ,  G06K2209/25 ,  G06N3/0454 ,  G06N3/08 ,  G06N5/046 ,  G06N7/005 ,  G06N20/00

摘要： There is provided a method of identifying objects in an image, comprising: extracting query descriptors from the image, comparing each query descriptor with training descriptors for identifying matching training descriptors, each training descriptor is associated with a reference object identifier and with relative location data (distance and direction from a center point of a reference object indicated by the reference object identifier), computing object-regions of the digital image by clustering the query descriptors having common center points defined by the matching training descriptors, each object-region approximately bounding one target object and associated with a center point and a scale relative to a reference object size, wherein the object-regions are computed independently of the identifier of the reference object associated with the object-regions, wherein members of each cluster point toward a common center point, and classifying the target object of each object-region according to the reference object identifier of the cluster.

公开(公告)号：US20190073562A1

公开(公告)日：2019-03-07

申请号：US15696228

申请日：2017-09-06

申请人： IRDETO B.V.

发明人： Milosh Stolikj ,  Dmitri Jarnikov

IPC分类号： G06K9/62 ,  G10L25/51 ,  G10L25/78

CPC分类号： G06K9/6256 ,  G06F16/5854 ,  G06K9/00228 ,  G06K9/00288 ,  G06K9/00711 ,  G06K9/4628 ,  G06K9/6274 ,  G06K2209/25 ,  G06K2209/27 ,  G06N3/04 ,  G10L15/16 ,  G10L25/51 ,  G10L25/78

摘要： A method for identifying an object within a video sequence, wherein the video sequence comprises a sequence of images, wherein the method comprises, for each of one or more images of the sequence of images: using a first neural network to determine whether or not an object of a predetermined type is depicted within the image; and in response to the first neural network determining that an object of the predetermined type is depicted within the image, using an ensemble of second neural networks to identify the object determined as being depicted within the image.

公开(公告)号：US20180349726A1

公开(公告)日：2018-12-06

申请号：US16057386

申请日：2018-08-07

申请人： Blinkfire Analytics, Inc.

发明人： Stephen Joseph Olechowski, III ,  Nan Jiang ,  Alejandro Tatay de Pascual

IPC分类号： G06K9/32 ,  G06K9/52 ,  G06K9/62 ,  G06F17/30

CPC分类号： G06K9/3258 ,  G06F17/30259 ,  G06F17/3028 ,  G06K9/3241 ,  G06K9/52 ,  G06K9/6211 ,  G06K2209/25

摘要： An image identification system may identify key points on a known image, variations of the known image in different levels of blur, and an unidentified image. One or more geometric shapes may be formed from the key points. A match between the unidentified image and either the known image or a blurred variation of the known image may be determined by comparison of the respective geometric shapes.

公开(公告)号：US20180315203A1

公开(公告)日：2018-11-01

申请号：US15816796

申请日：2017-11-17

申请人： Ditto Labs, Inc.

发明人： Philip B. Romanik ,  Neil Lawrence Mayle

IPC分类号： G06T7/33 ,  G06K9/00 ,  G06T7/73

CPC分类号： G06T7/337 ,  G06K9/00 ,  G06K9/4671 ,  G06K9/6211 ,  G06K2209/25 ,  G06T7/73 ,  G06T2207/20021

摘要： A computer-implemented method for determining whether a first image contains at least a portion of a second image includes: determining a first set of feature points associated with the first image; removing from said first set of feature points at least some feature points in the first set that correspond to one or more textures in the first image; and then attempting to match feature points in said first set of feature points with feature points in a second set of feature points associated with said second image to determine whether said first image contains at least a portion of said second image.

公开(公告)号：US20180232597A1

公开(公告)日：2018-08-16

申请号：US15785085

申请日：2017-10-16

申请人： Hyundai Motor Company ,  Kia Motors Corporation ,  Maxst Co., Ltd.

发明人： Hangjip CHOI ,  Seung Gyun Kim ,  Jin Min Choi ,  Jae Wan Park

IPC分类号： G06K9/46 ,  G06K9/62 ,  G06K9/20 ,  G06K9/68

CPC分类号： G06K9/4642 ,  G06K9/2054 ,  G06K9/6212 ,  G06K9/6262 ,  G06K9/6807 ,  G06K2209/03 ,  G06K2209/25

摘要： Disclosed are a pictogram recognition apparatus, a pictogram recognition system, and a pictogram recognition method, wherein the pictogram recognition method includes acquiring learning data, acquiring an image including a pictogram, extracting at least one zone from the image, acquiring a descriptor corresponding to the at least one zone, recognizing a pictogram by comparing the descriptor with the learning data and providing a user with information corresponding to the recognized pictogram.

公开(公告)号：US20180158316A1

公开(公告)日：2018-06-07

申请号：US15568630

申请日：2016-04-22

申请人： LG ELECTRONICS INC.

发明人： Junseok HAM ,  Jaeyoung KIM ,  Yoonho SHIN ,  Yoonseong KIM

IPC分类号： G08C17/02 ,  G06F21/32 ,  G05B15/02 ,  G06K9/20 ,  G06K9/32

CPC分类号： G08C17/02 ,  G05B15/02 ,  G06F21/32 ,  G06F21/44 ,  G06K9/2018 ,  G06K9/3258 ,  G06K2209/25 ,  G08C17/00 ,  G08C23/04 ,  G08C2201/12 ,  G08C2201/20 ,  G08C2201/31 ,  G08C2201/32 ,  G08C2201/42 ,  G08C2201/50 ,  G08C2201/61 ,  G08C2201/70 ,  G08C2201/71 ,  G08C2201/92 ,  G08C2201/93

摘要： The present invention relates to a remote control apparatus which can remotely control multiple devices. A remote control apparatus according to an embodiment of the present invention comprises: a key input unit having multiple keys; a reception unit for receiving at least one device identification signal from at least one device or a transmission device corresponding to the device; a processor for detecting an identification signal for a device, which can be remotely controlled, from the at least one received device identification signal, and matching at least one of the multiple keys to a control command for the remote control of the device, on the basis of the detected identification signal; and a transmission unit for transmitting a signal corresponding to the control command when the key matched to the control command is selected. Accordingly, the present invention can remotely control multiple devices.

公开(公告)号：US09892114B2

公开(公告)日：2018-02-13

申请号：US14508492

申请日：2014-10-07

申请人： ABBYY Development LLC

发明人： Yuri Chulinin

IPC分类号： G06F17/28 ,  G06K9/00 ,  G06K9/46

CPC分类号： G06F17/2863 ,  G06K9/00973 ,  G06K9/4647 ,  G06K9/4685 ,  G06K2209/01 ,  G06K2209/25

摘要： The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed carry out an initial processing step on one or more scanned images to identify a subset of the total number of symbols frequently used in the scanned document image or images. One or more lists of graphemes for the language of the text are then ordered in most-likely-occurring to least-likely-occurring order to facilitate a second optical-character-recognition step in which symbol images extracted from the one or more scanned-document images are associated with one or more graphemes most likely to correspond to the scanned symbol image.

公开(公告)号：US20180025227A1

公开(公告)日：2018-01-25

申请号：US15721171

申请日：2017-09-29

申请人： The Nielsen Company (US), LLC

发明人： Kevin Keqiang Deng ,  Barry Greenberg

IPC分类号： G06K9/00 ,  G06K9/32

CPC分类号： G06K9/00711 ,  G06K9/3266 ,  G06K2009/00738 ,  G06K2209/25

摘要： Methods and apparatus to measure brand exposure in media streams are disclosed. Disclosed example apparatus include a scene detector to compare a signature of a detected scene of a media presentation with a library of signatures to identify a first reference scene, and a scene classifier to classify the detected scene as a scene of changed interest when a first region of interest in the detected scene does not include a first reference brand identifier included in a corresponding region of interest in the first reference scene. Disclosed example apparatus further include a graphical user interface to present the detected scene, prompt for selection of an area of the first region of interest in the detected scene, and compare the selected area to a library of reference brand identifiers to identify a second reference brand identifier included in the first region of interest in the detected scene.

公开(公告)号：US20170357878A1

公开(公告)日：2017-12-14

申请号：US15654708

申请日：2017-07-20

申请人： SRI International

发明人： Harpreet Singh Sawhney ,  Jayakrishnan Eledath ,  Mayank Bansal ,  Bogdan C. Matei ,  Xutao Lv ,  Chaitanya Desai ,  Timothy Shields

IPC分类号： G06K9/62 ,  G06K9/00 ,  G06F17/30

CPC分类号： G06K9/6255 ,  G06F16/3322 ,  G06F16/50 ,  G06F16/54 ,  G06F16/5838 ,  G06K9/00684 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/6224 ,  G06K2209/25

摘要： A computing system and method for identifying related visual content of a collection of visual media files comprising one or more image files and video files includes monitoring inputs to the computing system, the inputs associated with a user interaction with electronic content using the computer system, identifying a visual media file in the collection of visual media files relevant to the electronic content based on a semantic label assigned to the visual media file by the computing system, creating a representative image of the identified visual media file, and displaying the representative image for selection. The computing system enables a selection of the displayed representative image for association of the identified visual media file with the electronic content.