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    Static image segmentation
    6.
    发明授权
    Static image segmentation 有权
    静态图像分割

    公开(公告)号：US09311716B2

    公开(公告)日：2016-04-12

    申请号：US14277321

    申请日：2014-05-14

    Applicant: International Business Machines Corporation

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

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

    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 a static image containing a target object into multiple regions based on one or more visual features of the static image; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on motion information associated with each of the multiple segmented regions; and applying the similarity metric to the static 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。 一种方法包括基于静态图像的一个或多个视觉特征将包含目标对象的静态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中的每一个相关联的运动信息来确定所述多个分段区域上的相似性度量; 以及将所述相似性度量应用于所述静态图像，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。

    Image segmentation techniques
    7.
    发明授权
    Image segmentation techniques 有权
    图像分割技术

    公开(公告)号：US09280819B2

    公开(公告)日：2016-03-08

    申请号：US13975575

    申请日：2013-08-26

    Applicant: International Business Machines Corporation

    Inventor： Noel C. Codella ,  John R. Smith

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

    CPC classification number: G06T7/0014 ,  G06K9/621 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/30004

    Abstract: Methods for image segmentation are provided herein. A method includes creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.

    Abstract translation: 本文提供了图像分割方法。 一种方法包括从包括一个或多个成像模态的训练数据创建解剖模型，基于解剖模型和与图像对比度生成相关的物理学的一个或多个原理生成目标模态中的一个或多个模拟图像， 将更多的模拟图像转换成给定成像模态的未标记输入图像，以确定一个或多个模拟图像的模拟图像以表示未标记的输入图像。

    Social media event detection and content-based retrieval
    8.
    发明授权
    Social media event detection and content-based retrieval 有权
    社交媒体事件检测和基于内容的检索

    公开(公告)号：US09104667B2

    公开(公告)日：2015-08-11

    申请号：US13625132

    申请日：2012-09-24

    Applicant: International Business Machines Corporation

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

    IPC: G06K9/60 ,  G06F17/30

    CPC classification number: G06N5/04 ,  G06F17/30 ,  G06F17/30247 ,  G06F17/30265 ,  G06F17/30598 ,  G06K9/6267 ,  G06N7/005 ,  G06N99/005

    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, and retrieving one or more images associated with the event semantic concept signal for presentation as a visual description of the detected event.

    Abstract translation: 通过社交媒体内容检测事件的技术。 一种方法包括从至少一个社交媒体源获得多个图像，从多个图像中提取至少一个视觉语义概念，将事件语义概念信号与背景语义概念信号区分开来，以检测多个图像中的事件，并且检索一个 或更多与事件语义概念信号相关联的图像，以作为所检测到的事件的视觉描述。

    Image Segmentation Techniques
    9.
    发明申请
    Image Segmentation Techniques 有权
    图像分割技术

    公开(公告)号：US20150055842A1

    公开(公告)日：2015-02-26

    申请号：US13975575

    申请日：2013-08-26

    Applicant: International Business Machines Corporation

    Inventor： Noel C. Codella ,  John R. Smith

    IPC: G06K9/62

    CPC classification number: G06T7/0014 ,  G06K9/621 ,  G06K2209/05 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/30004

    Abstract: Methods, systems, and articles of manufacture for image segmentation are provided herein. A method includes creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.

    Abstract translation: 本文提供了图像分割的方法，系统和制造。 一种方法包括从包括一个或多个成像模态的训练数据创建解剖模型，基于解剖模型和与图像对比度生成相关的物理学的一个或多个原理生成目标模态中的一个或多个模拟图像， 将更多的模拟图像转换成给定成像模态的未标记输入图像，以确定一个或多个模拟图像的模拟图像以表示未标记的输入图像。

    Social Media Event Detection and Content-Based Retrieval
    10.
    发明申请
    Social Media Event Detection and Content-Based Retrieval 有权
    社会媒体事件检测和基于内容的检索

    公开(公告)号：US20140085329A1

    公开(公告)日：2014-03-27

    申请号：US13625295

    申请日：2012-09-24

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

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

    IPC: G06K9/46 ,  G09G5/377

    CPC classification number: G06N5/04 ,  G06F17/30 ,  G06F17/30247 ,  G06F17/30265 ,  G06F17/30598 ,  G06K9/6267 ,  G06N7/005 ,  G06N99/005

    Abstract: A system and article of manufacture for social media event detection and content-based retrieval include 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, and retrieving one or more images associated with the event semantic concept signal for presentation as a visual description of the detected event.

    Abstract translation: 用于社交媒体事件检测和基于内容的检索的系统和制品包括从至少一个社交媒体源获得多个图像，从多个图像中提取至少一个视觉语义概念，将事件语义概念信号与背景语义区分开来 概念信号以检测所述多个图像中的事件，以及检索与所述事件语义概念信号相关联的一个或多个图像作为所述检测到的事件的视觉描述。

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