公开(公告)号：US20160127750A1

公开(公告)日：2016-05-05

申请号：US14932426

申请日：2015-11-04

Applicant: Electronics and Telecommunications Research Institute

Inventor： Jeong Woo SON ,  Kee Seong CHO ,  Sun Joong KIM ,  Hwa Suk KIM ,  So Yung PARK ,  Won Il CHANG ,  Kyong Ha LEE

IPC: H04N21/234 ,  H04N21/25 ,  H04N21/845 ,  G06F17/30 ,  H04N21/8405 ,  H04N21/235 ,  H04N21/81

CPC classification number: H04N21/23418 ,  G06F17/30864 ,  H04N21/23109 ,  H04N21/234318 ,  H04N21/2353 ,  H04N21/237 ,  H04N21/251 ,  H04N21/4622 ,  H04N21/47205 ,  H04N21/4722 ,  H04N21/4728 ,  H04N21/4828 ,  H04N21/6125 ,  H04N21/8133 ,  H04N21/8405 ,  H04N21/8455

Abstract: An apparatus and method for verifying broadcast content object identification based on web data. The apparatus includes: a web data processor configured to collect and process web data related to broadcast content and create content knowledge information by tagging the web data to the broadcast content; a content knowledge information storage portion configured to store the content knowledge information; and an object identification verifier configured to verify a result of identifying an object contained in the broadcast content, using the content knowledge information.

Abstract translation: 一种用于基于web数据验证广播内容对象标识的装置和方法。 该装置包括：网络数据处理器，被配置为收集和处理与广播内容相关的网络数据，并通过将网络数据标记到广播内容来创建内容知识信息; 内容知识信息存储部，被配置为存储所述内容知识信息; 以及对象识别验证器，被配置为使用内容知识信息来验证识别广播内容中包含的对象的结果。

公开(公告)号：US20160110543A1

公开(公告)日：2016-04-21

申请号：US14808002

申请日：2015-07-24

Applicant: Electronics and Telecommunications Research Institute

Inventor： Won Joo PARK ,  Kyong Ha LEE ,  Kee Seong CHO

IPC: G06F21/55

CPC classification number: G06F21/57 ,  G06F21/563

Abstract: The present invention provides a malicious application detecting apparatus based on a visualization similarity, including: a first storing unit which classifies malicious applications for every group in accordance with characteristics and stores the malicious applications; a second storing unit which stores a target application; an image generating unit which analyzes the malicious applications to generate first visualization images and analyzes the target application to generate a second visualization image; a representative image selecting unit which selects representative images for every group using a similarity of the first visualization images; and a determining unit which compares the representative images with the second visualization image to determine whether the target application is a malicious application.

Abstract translation: 本发明提供了一种基于可视化相似性的恶意应用检测装置，包括：第一存储单元，根据特征对每个组的恶意应用进行分类并存储恶意应用; 存储目标应用的第二存储单元; 图像生成单元，其分析恶意应用以生成第一可视图像并分析目标应用以生成第二可视图像; 代表图像选择单元，使用第一可视图像的相似度为每个组选择代表图像; 以及确定单元，其将代表图像与第二可视化图像进行比较，以确定目标应用是否是恶意应用。

公开(公告)号：US20160224864A1

公开(公告)日：2016-08-04

申请号：US15003331

申请日：2016-01-21

Applicant: Electronics and Telecommunications Research Institute

Inventor： Won Il CHANG ,  Jeong Woo SON ,  Sun Joong KIM ,  Hwa Suk KIM ,  So Yung PARK ,  Alex LEE ,  Kyong Ha LEE ,  Kee Seong CHO

IPC: G06K9/48 ,  G06K9/46 ,  G06T7/20 ,  G06T7/00

CPC classification number: G06K9/4652 ,  G06K9/4604 ,  G06K9/4642

Abstract: Provided is an object detecting method and apparatus, the apparatus configured to extract a frame image and a motion vector from a video, generate an integrated feature vector based on the frame image and the motion vector, and detect an object included in the video based on the integrated feature vector.

Abstract translation: 提供了一种物体检测方法和装置，该装置被配置为从视频中提取帧图像和运动矢量，基于帧图像和运动矢量生成积分特征向量，并基于 综合特征向量。

公开(公告)号：US20160267270A1

公开(公告)日：2016-09-15

申请号：US14830546

申请日：2015-08-19

Applicant: Electronics and Telecommunications Research Institute

Inventor： Kyong Ha LEE ,  Won Joo PARK ,  Kee Seong CHO

IPC: G06F21/56 ,  G06F17/30

CPC classification number: G06F21/562 ,  G06F21/564 ,  G06F2221/033 ,  H04L63/145 ,  H04W4/12

Abstract: Provided is a system for conducting the fast inspection of Android malwares, the system including a processor configured to compute the similarity between the signature for a given target application and one of signatures stored in a database, and a determiner configured to determine whether the target application is a malware based on the computed similarity, wherein the system relates to the technology for examining whether a certain Android application, which can be downloaded via a uniform resource locator (URL), is malicious by examining how similar the application is with the malwares and normal applications verified earlier.

Abstract translation: 提供了一种用于对Android恶意软件进行快速检查的系统，该系统包括被配置为计算给定目标应用的签名与存储在数据库中的签名之间的相似性的处理器，以及确定器，用于确定目标应用 是基于计算出的相似性的恶意软件，其中该系统涉及用于检查可以通过统一资源定位符（URL）下载的某个Android应用程序是否是恶意的技术，通过检查应用程序与恶意软件的相似程度以及 正常应用程序验证较早。