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    SYSTEM FOR MANAGING VIDEO BASED ON TOPIC AND METHOD USING THE SAME AND METHOD FOR SEARCHING VIDEO BASED ON TOPIC
    2.
    发明申请
    SYSTEM FOR MANAGING VIDEO BASED ON TOPIC AND METHOD USING THE SAME AND METHOD FOR SEARCHING VIDEO BASED ON TOPIC 审中-公开
    基于主题管理视频的系统及使用该方法的方法和基于主题搜索视频的方法

    公开(公告)号：US20080212932A1

    公开(公告)日：2008-09-04

    申请号：US11769355

    申请日：2007-06-27

    申请人： Yong Lee ,  Doo Sun Hwang ,  Ji Yeun Kim ,  Jeong Mi Cho ,  Sang Kyun Kim ,  Yong Ju Jung

    发明人： Yong Lee ,  Doo Sun Hwang ,  Ji Yeun Kim ,  Jeong Mi Cho ,  Sang Kyun Kim ,  Yong Ju Jung

    IPC分类号： H04N5/91

    CPC分类号： H04N5/76 ,  G06F16/7844 ,  G11B27/11 ,  G11B27/34

    摘要： A video management method and system based on a topic, and a video search method based on a topic. The video management system includes: a video topic management unit extracting a topic from information associated with a video, storing the extracted topic, and monitoring the video associated with the stored topic; a video storage management unit storing the video and information associated with the video, and managing a storage space based on the topic which is stored in the video topic management unit; and a topic video management unit generating a topic video of the monitored video when the video associated with the stored topic is monitored, and providing a search function and a navigation function of the video which is stored in the video storage management unit.

    摘要翻译： 基于主题的视频管理方法和系统，以及基于主题的视频搜索方法。 视频管理系统包括：视频主题管理单元，从与视频关联的信息中提取主题，存储所提取的主题，以及监视与所存储的主题相关联的视频; 视频存储管理单元，存储与视频相关联的视频和信息，并且基于存储在视频主题管理单元中的主题来管理存储空间; 以及主题视频管理单元，当与所存储的主题相关联的视频被监视时，生成被监视视频的主题视频，并且提供存储在视频存储管理单元中的视频的搜索功能和导航功能。

    Method and system for classifying scene for each person in video
    3.
    发明申请
    Method and system for classifying scene for each person in video 有权
    为视频中的每个人分类场景的方法和系统

    公开(公告)号：US20080166027A1

    公开(公告)日：2008-07-10

    申请号：US11882733

    申请日：2007-08-03

    申请人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    发明人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00295 ,  G06F17/30793 ,  G06K9/00718 ,  G06K9/00765

    摘要： A method of classifying a scene for each person in a video, the method including: detecting a face within input video frames; detecting a shot change of the input video frames; extracting a person representation frame in the shot; performing a person clustering in the extracted person representation frame based on time information; detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background; and merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.

    摘要翻译： 一种对视频中的每个人分类场景的方法，所述方法包括：检测输入视频帧内的人脸; 检测输入视频帧的镜头变化; 在镜头中提取人物表示框架; 基于时间信息执行提取的人表示帧中的人聚类; 通过基于面部提取信息将人物部分与背景分开来检测场景变化，并且比较人物部分和背景; 并从提取的人表示框架合并类似的聚类，并为每个人执行场景聚类。

    Method, system, and medium for classifying category of photo
    4.
    发明申请
    Method, system, and medium for classifying category of photo 审中-公开
    方法，系统和介质，用于分类照片类别

    公开(公告)号：US20080013940A1

    公开(公告)日：2008-01-17

    申请号：US11605281

    申请日：2006-11-29

    申请人： Yong Ju Jung ,  Sang Kyun Kim ,  Ji Yeun Kim

    发明人： Yong Ju Jung ,  Sang Kyun Kim ,  Ji Yeun Kim

    IPC分类号： G03B17/00

    CPC分类号： G03D15/001

    摘要： A photo category classification method including dividing a region of a photo based on content of the photo and extracting a visual feature from the segmented region of the photo, modeling at least one local semantic concept included in the photo according to the extracted visual feature, acquiring a posterior probability value from confidence values acquired from the modeling of the at least one local semantic concept by normalization using regression analysis, modeling a global semantic concept included in the photo by using the posterior probability value of the at least one local semantic concept; and removing classification noise from a confidence value acquired from the modeling the global semantic concept.

    摘要翻译： 一种照片类别分类方法，包括基于照片的内容划分照片的区域并从照片的分割区域提取视觉特征，根据所提取的视觉特征对包括在照片中的至少一个局部语义概念进行建模，获取 通过使用回归分析的归一化从所述至少一个局部语义概念的建模获得的置信度值的后验概率值，通过使用所述至少一个局部语义概念的后验概率值来对包含在所述照片中的全局语义概念进行建模; 以及从对全局语义概念的建模获得的置信度值中去除分类噪声。

    Water-Degradable Environmentally Friendly Sanitary Napkin
    7.
    发明申请
    Water-Degradable Environmentally Friendly Sanitary Napkin 有权

    公开(公告)号：US20230121410A1

    公开(公告)日：2023-04-20

    申请号：US17050189

    申请日：2020-02-20

    申请人： JI YEUN KIM

    发明人： JI YEUN KIM

    IPC分类号： A61F13/15 ,  A61F13/56 ,  A61L15/20 ,  A61F13/84 ,  A61L15/46 ,  A61L15/52 ,  A61L15/62

    摘要： The present disclosure relates to an environmentally friendly sanitary napkin including: a permeable inner sheet configured to come into contact with a skin and allow secretions to pass therethrough; an impermeable waterproof outer sheet having the same size and shape as those of the inner sheet and bonded to the inner sheet by fusion; an absorbent pad fixedly inserted between the inner sheet and the waterproof outer sheet and configured to absorb secretions such as menstrual blood that passes through the inner sheet; and an adhesive pad inserted into an appropriate position between the absorbent pad and the waterproof outer sheet, and provided on the absorbent pad and the lower surface of the waterproof outer sheet, and configured to fix the sanitary napkin by adhesion to the inside of underwear, wherein the inner sheet, the waterproof outer sheet, the absorbent pad and the adhesive pad are degradable in water or are biodegradable.
    The environmentally friendly sanitary napkin of the present disclosure is degradable by a large amount of water in a septic tank when flushed down a toilet bowl after use, and is biodegradable in soil, thus preventing environmental pollution problems.
    In addition, the environmentally friendly sanitary napkin may exhibit antimicrobial effects against harmful bacteria in the vagina and exhibit an excellent effect on sanitariness by suppressing the generation of odor caused by secretions.

    Method and system for classifying scene for each person in video
    9.
    发明申请
    Method and system for classifying scene for each person in video 审中-公开
    为视频中的每个人分类场景的方法和系统

    公开(公告)号：US20120039515A1

    公开(公告)日：2012-02-16

    申请号：US13317509

    申请日：2011-10-20

    申请人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    发明人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    IPC分类号： G06K9/62

    CPC分类号： G06K9/00295 ,  G06F16/784 ,  G06K9/00718 ,  G06K9/00765

    摘要： Described is a method of classifying a scene for each person in a video, the method including: detecting a face within input video frames; detecting a shot change of the input video frames; extracting a person representation frame in the shot; performing a person clustering in the extracted person representation frame based on time information; detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background; and merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.

    摘要翻译： 描述了对视频中的每个人分类场景的方法，所述方法包括：检测输入视频帧内的人脸; 检测输入视频帧的镜头变化; 在镜头中提取人物表示框架; 基于时间信息执行提取的人表示帧中的人聚类; 通过基于面部提取信息将人物部分与背景分开来检测场景变化，并且比较人物部分和背景; 并从提取的人表示框架合并类似的聚类，并为每个人执行场景聚类。

    Method and system for classifying scene for each person in video
    10.
    发明授权
    Method and system for classifying scene for each person in video 有权
    为视频中的每个人分类场景的方法和系统

    公开(公告)号：US08073208B2

    公开(公告)日：2011-12-06

    申请号：US11882733

    申请日：2007-08-03

    申请人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    发明人： Jin Guk Jeong ,  Ji Yeun Kim ,  Sang Kyun Kim ,  San Ko

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00295 ,  G06F17/30793 ,  G06K9/00718 ,  G06K9/00765

    摘要： A method of classifying a scene for each person in a video, the method including: detecting a face within input video frames; detecting a shot change of the input video frames; extracting a person representation frame in the shot; performing a person clustering in the extracted person representation frame based on time information; detecting a scene change by separating a person portion from a background based on face extraction information, and comparing the person portion and the background; and merging similar clusters from the extracted person representation frame and performing a scene clustering for each person.

    摘要翻译： 一种对视频中的每个人分类场景的方法，所述方法包括：检测输入视频帧内的人脸; 检测输入视频帧的镜头变化; 在镜头中提取人物表示框架; 基于时间信息执行提取的人表示帧中的人聚类; 通过基于面部提取信息将人物部分与背景分开来检测场景变化，并且比较人物部分和背景; 并从提取的人表示框架合并类似的聚类，并为每个人执行场景聚类。