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    Social media event detection and content-based retrieval
    14.
    发明授权
    Social media event detection and content-based retrieval 有权

    公开(公告)号：US10032113B2

    公开(公告)日：2018-07-24

    申请号：US14693314

    申请日：2015-04-22

    Applicant: International Business Machines Corporation

    Inventor： Noel C. Codella ,  Apostol Natsev ,  John R. Smith

    IPC: G06F17/30 ,  G06N5/04 ,  G06K9/62 ,  G06N7/00 ,  G06N99/00

    Abstract: Techniques for detecting an event via social media content. A method includes obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple images; differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images; retrieving one or more images associated with the event semantic concept signal; grouping the one or more images associated with the event semantic concept signal; annotating the group of one or more images with user feedback; and displaying the annotated group of one or more images as a visual description of the detected event.

    VISUALLY GENERATED CONSUMER PRODUCT PRESENTATION
    17.
    发明申请
    VISUALLY GENERATED CONSUMER PRODUCT PRESENTATION 有权
    VISUALLY生成的消费者产品介绍

    公开(公告)号：US20170004569A1

    公开(公告)日：2017-01-05

    申请号：US15266716

    申请日：2016-09-15

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Bernadette R. Duponchel ,  Myron Flickner ,  Victoria B. Platt ,  John R. Smith

    IPC: G06Q30/06 ,  G06Q30/02 ,  H04L29/08

    CPC classification number: G06Q30/0643 ,  G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0277 ,  G06Q30/0282 ,  G06Q50/01 ,  G06T11/001 ,  H04L67/306

    Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

    Abstract translation: 个性化增强方法和系统。 该方法包括检索和分析与用户相关联的数字内容。 描述数字内容的特征被标记并传送到所述用户的简档。 该简档包括在先前分析来自数字内容的数据和与用户相关联的附加数字内容期间生成的附加特征。 分配与产品相关联的用户信息，位置和时间简档。 基于用户对消费者网站的选择和交互来分析简档。 该简介包括消费者网站的产品和服务的特征和附加特征。 确定呈现颜色设置和一组产品和服务以呈现给用户。 使用演示颜色设置向用户显示一组产品和服务。

    SYSTEMS AND METHODS FOR INFERRING GENDER BY FUSION OF MULTIMODAL CONTENT
    18.
    发明申请
    SYSTEMS AND METHODS FOR INFERRING GENDER BY FUSION OF MULTIMODAL CONTENT 有权
    通过融合多模态内容感染性别的系统和方法

    公开(公告)号：US20160379086A1

    公开(公告)日：2016-12-29

    申请号：US15226789

    申请日：2016-08-02

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Liangliang Cao ,  Michele Merler ,  John R. Smith

    IPC: G06K9/62 ,  G06K9/32 ,  G06F17/27 ,  G06K9/00 ,  G06N5/04 ,  G06N7/00

    CPC classification number: G06K9/628 ,  G06F17/2785 ,  G06K9/00288 ,  G06K9/00302 ,  G06K9/00362 ,  G06K9/00677 ,  G06K9/325 ,  G06K9/6293 ,  G06N5/04 ,  G06N7/005

    Abstract: A method and systems are provided. A system includes a set of visual and textual classifiers for recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user, and performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The system further includes a multimodal information fusion device for combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores to infer a gender of a user.

    Abstract translation: 提供了一种方法和系统。 系统包括一组视觉和文本分类器，用于识别一组图像中的语义概念，并为图像分配语义分数以预测用户的性别，以及从图像中的视觉内容和文本内容执行性别预测以分别产生 基于视觉的性别预测和基于文本的性别预测。 该系统还包括多模态信息融合装置，用于结合使用多模态信息融合，基于视觉的性别预测，基于文本的性别预测和语义分数来推断用户的性别。

    Static Image Segmentation
    19.
    发明申请
    Static Image Segmentation 审中-公开
    静态图像分割

    公开(公告)号：US20160148389A1

    公开(公告)日：2016-05-26

    申请号：US15009101

    申请日：2016-01-28

    Applicant: International Business Machines Corporation

    Inventor： Noel C. Codella ,  Gang Hua ,  John R. Smith

    IPC: G06T7/00 ,  G06T7/40 ,  G06K9/62 ,  G06K9/46

    CPC classification number: G06T7/11 ,  G06K9/3241 ,  G06K9/46 ,  G06K9/4604 ,  G06K9/4652 ,  G06K9/468 ,  G06K9/6215 ,  G06K9/6218 ,  G06K2009/4666 ,  G06K2009/6213 ,  G06T7/187 ,  G06T7/90 ,  G06T2207/10016

    Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting an image containing a target object into multiple regions; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on information associated with the multiple segmented regions; and applying the similarity metric to the image to identify two or more of the multiple segmented regions as being portions of the target object.

    Abstract translation: 本文提供了静态图像分割的方法，系统和计算机程序产品。 一种方法包括将包含目标对象的图像分割成多个区域; 分析包含所述目标对象的视频内容，以基于与所述多个分段区域相关联的信息来确定所述多个分割区域上的相似性度量; 以及将所述相似性度量应用于所述图像，以将所述多个分段区域中的两个或更多个标识为所述目标对象的部分。

    Techniques for ground-level photo geolocation using digital elevation
    20.
    发明授权
    Techniques for ground-level photo geolocation using digital elevation 有权
    使用数字高程的地面照相地理定位技术

    公开(公告)号：US09165217B2

    公开(公告)日：2015-10-20

    申请号：US13744688

    申请日：2013-01-18

    Applicant: International Business Machines Corporation

    Inventor： Liangliang Cao ,  Noel C. F. Codella ,  Gang Hua ,  John R. Smith

    IPC: G06F17/00 ,  G06N5/00 ,  G06K9/62 ,  G06K9/00

    CPC classification number: G06K9/6256 ,  G06K9/00657

    Abstract: Techniques for generating cross-modality semantic classifiers and using those cross-modality semantic classifiers for ground level photo geo-location using digital elevation are provided. In one aspect, a method for generating cross-modality semantic classifiers is provided. The method includes the steps of: (a) using Geographic Information Service (GIS) data to label satellite images; (b) using the satellite images labeled with the GIS data as training data to generate semantic classifiers for a satellite modality; (c) using the GIS data to label Global Positioning System (GPS) tagged ground level photos; (d) using the GPS tagged ground level photos labeled with the GIS data as training data to generate semantic classifiers for a ground level photo modality, wherein the semantic classifiers for the satellite modality and the ground level photo modality are the cross-modality semantic classifiers.

    Abstract translation: 提供了用于生成交叉模态语义分类器的技术，并使用数字高程对地面照片地理位置使用这些交叉模式语义分类器。 一方面，提供了一种用于产生交叉模态语义分类器的方法。 该方法包括以下步骤：（a）使用地理信息服务（GIS）数据标记卫星图像; （b）使用标有GIS数据的卫星图像作为训练数据，生成卫星模式的语义分类器; （c）使用GIS数据标记全球定位系统（GPS）标记的地面照片; （d）使用标记有GIS数据的GPS标记的地面级照片作为训练数据，以生成用于地平面照片模式的语义分类器，其中用于卫星模态和地面照度模式的语义分类器是交叉模式语义分类器 。

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