-
公开(公告)号:US10795932B2
公开(公告)日:2020-10-06
申请号:US16122621
申请日:2018-09-05
Inventor: Jeong Woo Son , Sun Joong Kim , Won Joo Park , Sang Yun Lee
IPC: G06F17/20 , G06F16/738 , G06K9/00 , G06F16/487 , G06F16/48 , G06F16/41 , G06F40/20 , G06F40/216
Abstract: Disclosed is a method and apparatus for generating a title and a keyframe of a video. According to an embodiment of the present disclosure, the method includes: selecting a main subtitle by analyzing subtitles of the video; selecting the keyframe corresponding to the main subtitle; extracting content information of the keyframe by analyzing the keyframe; generating the title of the video using metadata of the video, the main subtitle, and the content information of the keyframe; and outputting the title and the keyframe of the video.
-
公开(公告)号:US10339315B2
公开(公告)日:2019-07-02
申请号:US15299818
申请日:2016-10-21
Inventor: Won Joo Park , Sun Joong Kim , Hyun Woo Lee
IPC: G06F21/56
Abstract: An apparatus for detecting a malicious app. The apparatus may include a collector to collect a mobile app, a static analyzer to extract basic information from the collected mobile app, analyze the basic information of the extracted mobile app, and generate a call flow graph (CFG) of the mobile app, a dynamic analyzer to execute the collected mobile app, expand the CFG of the mobile app, generated by the static analyzer, to a dynamic action-based CFG, and determine a similarity between the expanded CFG and a flow graph that performs a malicious action, and a malicious app determiner to determine whether the collected mobile app is malicious by analyzing the basic information, the CFG, the call flow graph, and the similarity.
-
公开(公告)号:US12169689B2
公开(公告)日:2024-12-17
申请号:US17752611
申请日:2022-05-24
Inventor: Myung Sun Baek , Seung Hee Kim , Young Soo Park , Won Joo Park , Sang Yun Lee , Yong Tae Lee
IPC: G06F40/242 , G06F16/35 , G06F40/268 , G06F40/279 , G06Q50/26
Abstract: A crime type inference system based on text data, may include: a keywords dictionary construction unit configured to receive crime source data, and generate a crime type keywords dictionary by extracting crime keywords; a data set construction unit configured to generate a dataset for crime type learning by using the crime source data and the keywords dictionary; a crime type prediction model training unit configured to generate a crime type prediction model by using the dataset, and train the crime type prediction model; and a crime type inference unit configured to infer a crime type by using new crime data.
-
公开(公告)号:US10433028B2
公开(公告)日:2019-10-01
申请号:US15820692
申请日:2017-11-22
Inventor: Won Joo Park , Jeong Woo Son , Sang Kwon Kim , Sun Joong Kim , Sang Yun Lee
IPC: H04N21/84 , H04N21/25 , H04N21/235 , H04N21/81 , G06F16/71 , G06F16/33 , H04N21/266 , H04N21/234
Abstract: There are provided an apparatus and method for tracking temporal variation of a video content context using dynamically generated metadata, wherein the method includes generating static metadata on the basis of internal data held during an initial publication of video content and tagging the generated static metadata to the video content, collecting external data related to the video content generated after the video content is published, generating dynamic metadata related to the video content on the basis of the collected external data and tagging the generated dynamic metadata to the video content, repeating regeneration and tagging of the dynamic metadata with an elapse of time, tracking a change in content of the dynamic metadata, and generating and providing a trend analysis report corresponding to a result of tracking the change in the content.
-
公开(公告)号:US11017015B2
公开(公告)日:2021-05-25
申请号:US15605282
申请日:2017-05-25
Inventor: Min Ho Han , Sun Joong Kim , Won Joo Park , Jong Hyun Park , Jeong Woo Son
IPC: G06F16/51 , G06F16/54 , G06F16/58 , G06F40/268
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.
-
公开(公告)号:US10372742B2
公开(公告)日:2019-08-06
申请号:US15253233
申请日:2016-08-31
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: G06F16/00 , G06F16/35 , G11B27/00 , H04N21/258 , H04N21/4788 , H04N21/8405 , H04N21/845 , G06F16/78 , G06F16/783
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.
-
-
-
-
-