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71. 发明申请

US20100091330A1 IMAGE SUMMARIZATION BY A LEARNING APPROACH 有权
标题翻译：通过学习方法进行图像概述
公开(公告)号：US20100091330A1
公开(公告)日：2010-04-15
申请号：US12250248
申请日：2008-10-13
申请人： Luca Marchesotti , Claudio Cifarelli
发明人： Luca Marchesotti , Claudio Cifarelli
IPC分类号： G06K15/00 , G06K9/46 , G06K9/00
CPC分类号： G06K9/3233 , G06K9/4676
摘要： An automated system and a method for extracting a region of interest from a digital image are disclosed. The method includes identifying a subset of training images from a larger set of training images, each training image in the set having a respective identified region of interest. The subset is identified based on a measure of similarity between the digital image and the images in the set of training images. At least one region of interest is extracted from the digital image based on an analysis of the identified regions of interest in the subset of training images.
摘要翻译：公开了一种用于从数字图像中提取感兴趣区域的自动化系统和方法。该方法包括从较大的一组训练图像中识别训练图像的子集，该组中的每个训练图像具有相应的所识别的感兴趣区域。基于训练图像集合中的数字图像和图像之间的相似度的度量来识别该子集。基于训练图像的子集中所识别的感兴趣区域的分析，从数字图像中提取至少一个感兴趣区域。

72. 发明申请

US20100040285A1 SYSTEM AND METHOD FOR OBJECT CLASS LOCALIZATION AND SEMANTIC CLASS BASED IMAGE SEGMENTATION 有权
标题翻译：用于对象类定位和基于语义类的图像分割的系统和方法
公开(公告)号：US20100040285A1
公开(公告)日：2010-02-18
申请号：US12191579
申请日：2008-08-14
申请人： Gabriela Csurka , Florent Perronnin
发明人： Gabriela Csurka , Florent Perronnin
IPC分类号： G06K9/64
CPC分类号： G06K9/00624 , G06K9/342 , G06K9/4676 , G06T7/11 , G06T2207/10024 , G06T2207/20021 , G06T2207/30236 , G06T2207/30252
摘要： An automated image processing system and method are provided for class-based segmentation of a digital image. The method includes extracting a plurality of patches of an input image. For each patch, at least one feature is extracted. The feature may be a high level feature which is derived from the application of a generative model to a representation of low level feature(s) of the patch. For each patch, and for at least one object class from a set of object classes, a relevance score for the patch, based on the at least one feature, is computed. For at least some or all of the pixels of the image, a relevance score for the at least one object class based on the patch scores is computed. An object class is assigned to each of the pixels based on the computed relevance score for the at least one object class, allowing the image to be segmented and the segments labeled, based on object class.
摘要翻译：提供了一种用于数字图像的基于分类的分割的自动图像处理系统和方法。该方法包括提取输入图像的多个片段。对于每个补丁，至少提取一个要素。该特征可以是从生成模型的应用导出到补丁的低级特征的表示的高级特征。对于每个补丁以及来自一组对象类的至少一个对象类，基于至少一个特征来计算补丁的相关性得分。对于图像的至少一些或全部像素，计算基于补丁得分的至少一个对象类别的相关度得分。基于所计算的至少一个对象类的相关性分数，将对象类分配给每个像素，允许根据对象类来分割图像和标记的图像。

73. 发明授权

US10878280B2 Video content indexing and searching 有权
公开(公告)号：US10878280B2
公开(公告)日：2020-12-29
申请号：US16880391
申请日：2020-05-21
申请人： Webkontrol, Inc.
发明人： Pavel Koval , Olga Valigourskaia
IPC分类号： G06K9/62 , G06F16/71 , G06F16/735 , G06K9/46 , G06K9/38 , G06K9/00 , G06K9/40 , G06N3/04 , G06N3/08
CPC分类号： G06K9/6215 , G06F16/71 , G06F16/735 , G06K9/00718 , G06K9/00744 , G06K9/00765 , G06K9/38 , G06K9/40 , G06K9/4652 , G06K9/4676 , G06K9/6212 , G06K9/6221 , G06K9/6232 , G06N3/04 , G06N3/08
摘要： A method of indexing and searching for video content is provided. For each frame of a first plurality of frames, a first global feature and a first plurality of local features may be identified. The first plurality of local features may be clustered around a first plurality of cluster centers. The first plurality of local features may be converted into a first plurality of binary signatures. An index that maps the first plurality of cluster centers and the first plurality of binary signatures to the first plurality of frames may be generated. A search request associated with a second video may be received and its direct and indirect features may be identified. The identified features of the second video may be compared against the index and a candidate video may be selected as a result of the search request.

74. 发明申请

US20180308243A1 Cognitive Tracker -- Appliance For Enabling Camera-to-Camera Object Tracking in Multi-Camera Surveillance Systems 审中-公开
公开(公告)号：US20180308243A1
公开(公告)日：2018-10-25
申请号：US15927182
申请日：2018-03-21
申请人： Irvine Sensors Corporation
发明人： James Justice
IPC分类号： G06T7/292 , H04N5/247 , G06K9/46 , G06K9/32 , G06T7/246
CPC分类号： G06T7/292 , G06K9/00973 , G06K9/3233 , G06K9/4676 , G06T7/248 , G06T2207/30232 , H04N5/247
摘要： A cognitive tracking system for objects of interest observed in multi-camera surveillance systems that are classified by their salient spatial, temporal, and color features. The features are used to enable tracking across an individual camera field of view, tracking across conditions of varying lighting or obscuration, and tracking across gaps in coverage in a multi-camera surveillance system. The invention is enabled by continuous correlation of salient feature sets combined with predictions of motion paths and identification of possible cameras within the multi-camera system that may next observe the moving objects.

75. 发明授权

US10083354B2 Advanced cloud detection using machine learning and optimization techniques 有权
公开(公告)号：US10083354B2
公开(公告)日：2018-09-25
申请号：US15362254
申请日：2016-11-28
申请人： DigitalGlobe, Inc.
发明人： Michael Aschenbeck
IPC分类号： G06K9/00 , G06K9/46 , G06K9/62 , G06T7/11
CPC分类号： G06K9/0063 , G06K9/4642 , G06K9/4676 , G06K9/6202 , G06K9/6224 , G06K9/6249 , G06K9/6262 , G06K9/6277 , G06K9/6296 , G06T7/11 , G06T7/162 , G06T2207/10032 , G06T2207/20021 , G06T2207/20081 , G06T2207/30181 , G06T2207/30192
摘要： Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a cloud dictionary and a ground dictionary, determining whether a given pixel is best represented by “words” from the cloud dictionary or “words” from the ground dictionary to make an initial determination of cloud or ground, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.

76. 发明申请

US20180144458A1 Multiple Hypotheses Segmentation-Guided 3D Object Detection and Pose Estimation 审中-公开
公开(公告)号：US20180144458A1
公开(公告)日：2018-05-24
申请号：US15356848
申请日：2016-11-21
申请人： Seiko Epson Corporation
发明人： Liwen Xu , Joseph Chi Tai Lam , Alex Levinshtein
IPC分类号： G06T7/00 , G06K9/46 , G06K9/62 , H04N13/02
CPC分类号： G06T7/004 , G06K9/4676 , G06T7/0081 , G06T7/11 , G06T7/593 , G06T7/70 , G06T2207/10028 , H04N13/204
摘要： A machine vision system and method uses captured depth data to improve the identification of a target object in a cluttered scene. A 3D-based object detection and pose estimation (ODPE) process is use to determine pose information of the target object. The system uses three different segmentation processes in sequence, where each subsequent segmentation process produces larger segments, in order to produce a plurality of segment hypotheses, each of which is expected to contain a large portion of the target object in the cluttered scene. Each segmentation hypotheses is used to mask 3D point clouds of the captured depth data, and each masked region is individually submitted to the 3D-based ODPE.

77. 发明授权

US09977955B2 Method and system for identifying books on a bookshelf 有权
公开(公告)号：US09977955B2
公开(公告)日：2018-05-22
申请号：US14745066
申请日：2015-06-19
申请人： Rakuten Kobo, Inc.
发明人： Peter Michael Bruce Hudson , Marius Constantin Muja , Andrew Cameron McNair , Sancho Juan Carlos Dean Rob Roy McCann
IPC分类号： G06K9/72 , G06K9/00 , G06K9/32 , G06K9/46
CPC分类号： G06K9/00456 , G06K9/00671 , G06K9/3258 , G06K9/4676
摘要： A method and system for identifying books located on a bookshelf. Photographs of the bookshelf are captured and processed to identify individual books. Processing involves segmenting the photograph into individual book spines and extracting and analyzing features of the book spines. Analysis may include database matching and/or optical character recognition. Book spines for which a match is not found are human labeled, and the label information is added to the database. User feedback is also used to update the database.

78. 发明申请

US20180114331A1 SYSTEMS AND METHODS FOR CONSTRUCTING AND INDEXING A DATABASE OF JOINT PROFILES FOR PERSONS VIEWED BY MULTIPLE WEARABLE APPARATUSES 审中-公开
公开(公告)号：US20180114331A1
公开(公告)日：2018-04-26
申请号：US15793632
申请日：2017-10-25
申请人： OrCam Technologies Ltd.
发明人： Yonatan Wexler , Amnon Shashua
IPC分类号： G06T7/60 , G06T1/00 , G06T7/70 , G06F17/30
CPC分类号： H04N21/41407 , G01S5/0027 , G06F1/163 , G06F3/011 , G06F17/30002 , G06F17/30256 , G06F17/3028 , G06F21/31 , G06K9/00288 , G06K9/00362 , G06K9/00671 , G06K9/4676 , G06K9/6217 , G06K2209/21 , G06K2209/27 , G06N5/04 , G06Q50/01 , G06T1/0007 , G06T7/20 , G06T7/60 , G06T7/70 , G06T7/73 , G06T2207/10004 , G06T2207/30196 , G06T2207/30201 , H04L51/32 , H04L67/22 , H04L67/306 , H04N1/32101 , H04N5/2251 , H04N5/23206 , H04N5/23229 , H04N7/185
摘要： The present disclosure relates to systems and methods for constructing and indexing a database with joint profiles for persons viewed by multiple wearable apparatuses. In one implementation, a system for updating profile information based on data collected by a wearable apparatus may include a database storing a plurality of profiles and at least one processing device. The at least one processing device may be programmed to obtain identification information associated with a person detected in one or more images captured by a wearable image sensor included in the wearable apparatus; obtain, from the wearable apparatus, auxiliary information associated with the detected person; identify, in the database, a profile associated with the detected person based on the identification information; and update the identified profile based on the auxiliary information.

79. 发明申请

US20180114329A1 SYSTEMS AND METHODS FOR SELECTING AN ACTION BASED ON A DETECTED PERSON 审中-公开
公开(公告)号：US20180114329A1
公开(公告)日：2018-04-26
申请号：US15793370
申请日：2017-10-25
申请人： OrCam Technologies Ltd.
发明人： Yonatan Wexler , Amnon Shashua
IPC分类号： G06T7/60 , G06Q50/00 , G06T7/73
CPC分类号： H04N1/32101 , G01S5/0027 , G06F1/163 , G06F3/011 , G06F16/23 , G06F16/51 , G06F16/5838 , G06F21/31 , G06K9/00288 , G06K9/00362 , G06K9/00671 , G06K9/4676 , G06K9/6217 , G06K2209/21 , G06K2209/27 , G06N5/04 , G06Q50/01 , G06T1/0007 , G06T7/20 , G06T7/60 , G06T7/70 , G06T7/73 , G06T2207/10004 , G06T2207/30196 , G06T2207/30201 , H04L51/32 , H04L67/22 , H04L67/306 , H04N5/2251 , H04N5/23206 , H04N5/23229 , H04N7/185 , H04N21/41407
摘要： The present disclosure relates to systems and methods for selecting an action based on a detected person. In one implementation, a wearable apparatus may include a wearable image sensor configured to capture a plurality of images from the environment of the user of the wearable apparatus and at least one processing device. The at least one processing device may be programmed to analyze at least one of the plurality of images to detect the person; analyze at least one of the plurality of images to identify an attribute of the detected person; select at least one category for the detected person based on the identified attribute; select at least one action based on the at least one category; and cause the at least one selected action to be executed.

80. 发明授权

US09934449B2 Methods and systems for detecting topic transitions in a multimedia content 有权
公开(公告)号：US09934449B2
公开(公告)日：2018-04-03
申请号：US15015179
申请日：2016-02-04
申请人： YEN4KEN, INC.
发明人： Ankit Gandhi , Arijit Biswas , Om D Deshmukh
IPC分类号： G06K9/68 , G06K9/62 , H04L29/06 , H04L29/08 , G09B5/06 , G06K9/18 , G06F17/27 , G06K9/00 , G06K9/46
CPC分类号： G06K9/6215 , G06F17/2765 , G06K9/00751 , G06K9/18 , G06K9/4676 , G06K9/6202 , G06K9/6219 , G09B5/065 , H04L67/12 , H04L67/42
摘要： A method for detecting one or more topic transitions in a multimedia content includes identifying, one or more frames from a plurality of frames of the multimedia content based on a comparison between one or more content items in a first frame of the plurality of frames, and the one or more content items in a first set of frames of the plurality of frames. The method further includes determining at least a first score, and a second score for each of the one or more frames. Additionally, the method includes determining a likelihood for each of the one or more frames based at least on the first score, and the second score, wherein the likelihood is indicative of a topic transition among the one or more frames.

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