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    APPARATUS AND METHOD FOR TAGGING TOPIC TO CONTENT
    1.
    发明申请
    APPARATUS AND METHOD FOR TAGGING TOPIC TO CONTENT 审中-公开
    用于标注内容的装置和方法

    公开(公告)号：US20170060999A1

    公开(公告)日：2017-03-02

    申请号：US15253233

    申请日：2016-08-31

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Jeong Woo SON ,  Sun Joong KIM ,  Won Joo PARK ,  Sang Yun LEE ,  Won RYU ,  Sang Kwon KIM ,  Seung Hee KIM ,  Woo Sug JUNG

    IPC: G06F17/30

    CPC classification number: G06F16/353 ,  G06F16/7844 ,  G06F16/7867 ,  H04N21/25891 ,  H04N21/4788 ,  H04N21/8405 ,  H04N21/8456

    Abstract: Disclosed is an apparatus and method for tagging a topic to content. The apparatus may include an unstructured data-based topic generator configured to generate a topic model including an unstructured data-based topic based on content and unstructured data, a viewer group analyzer configured to analyze a characteristic of a viewer group including a viewer of the content based on a social network of the viewer and viewing situation information of the viewer, a multifaceted topic generator configured to generate a multifaceted topic based on the topic model and the characteristic of the viewer group, a content divider configured to divide the content into a plurality of scenes, and a tagger configured to tag the multifaceted topic to the scenes.

    Abstract translation: 公开了一种用于将主题标记到内容的装置和方法。 该装置可以包括非结构化的基于数据的主题生成器，其被配置为基于内容和非结构化数据来生成包括非结构化的基于数据的主题的主题模型;被配置为分析包括内容的观看者的观众组的特征的观众组分析器 基于所述观众的社交网络和所述观众的观看情况信息，被配置为基于所述主题模型和所述观众群的特征来生成多方面话题的多方面主题生成器，被配置为将所述内容划分为多个的内容分割器 的场景，以及被配置为将多面体主题标记到场景的标签器。

    APPARATUS AND METHOD FOR VIDEO DATA AUGMENTATION
    5.
    发明申请
    APPARATUS AND METHOD FOR VIDEO DATA AUGMENTATION 审中-公开

    公开(公告)号：US20200151458A1

    公开(公告)日：2020-05-14

    申请号：US16683227

    申请日：2019-11-13

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Jeong Woo SON ,  Sang Hoon LEE ,  Alex LEE ,  Sun Joong KIM

    IPC: G06K9/00 ,  G06N3/08 ,  G06F16/783 ,  G06F16/78 ,  G06F16/75 ,  G06F16/787

    Abstract: A method and apparatus for video data augmentation that automatically constructs a large amount of learning data using video data. An apparatus for augmenting video data according to an embodiment of this disclosure, the apparatus including: a feature information check unit checking feature information including a content feature, a flow feature, and a class feature of a sub video of a predetermined unit constituting an original video; a section check unit selecting a video section including at least one sub video on the basis of the feature information of the sub video; and a video augmentation unit extracting at least one substitute sub video corresponding to the selected video section from multiple pre-stored sub videos, and applying the extracted at least one sub video to the selected video section to generate an augmented video.

    SYSTEM FOR CREATING INTERACTIVE MEDIA AND METHOD OF OPERATING THE SAME
    8.
    发明申请
    SYSTEM FOR CREATING INTERACTIVE MEDIA AND METHOD OF OPERATING THE SAME 审中-公开

    公开(公告)号：US20180203855A1

    公开(公告)日：2018-07-19

    申请号：US15605282

    申请日：2017-05-25

    Applicant: Electronics and Telecommunications Research Institute

    Inventor： Min Ho HAN ,  Sun Joong KIM ,  Won Joo PARK ,  Jong Hyun PARK ,  Jeong Woo SON

    IPC: G06F17/30 ,  G06F17/28

    CPC classification number: G06F16/51 ,  G06F16/54 ,  G06F16/58 ,  G06F17/2755 ,  G06K9/00355

    Abstract: A technology for allowing anyone to easily create interactive media capable of easily recognizing a user interaction by using a stored image is provided. A system according to the present invention includes an image reconstruction server, an image ontology, and an image repository. The image reconstruction server includes an image reconstruction controller, a natural language processing module, and an image search module. The image reconstruction controller of the image reconstruction server receives a scenario based on a natural language from a user and searches for images desired by the user by using the natural language processing module, the image search module, and the image repository. The natural language processing module of the image reconstruction server performs a morphological analysis and a syntax analysis on the scenario input by the user as a preliminary operation for the search of the image ontology. The image search module of the image reconstruction server automatically generates an ontology search query sentence, such as SPARQL, by using a result of natural language processing, and searches the image ontology by using the generated query sentence.

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