公开(公告)号：US20130301869A1

公开(公告)日：2013-11-14

申请号：US13848087

申请日：2013-03-21

Applicant: Electronics and Telecommunications Research Institute

Inventor： Yong-Seok SEO ,  Wonyoung Yoo ,  Sang Kwang Lee ,  Jee Hyun Park ,  Seungjae Lee ,  Young-Suk Yoon ,  JungHyun Kim ,  Young Ho Suh

IPC: G06T1/00

CPC classification number: G06T1/0021 ,  H04N21/8358

Abstract: A forensic marking apparatus includes a preprocessing unit configured to selectively perform preprocessing for forensic processing on content to be provided to a user terminal; and a forensic processing unit configured to perform forensic marking on the content by combining content files preprocessed by the preprocessing unit or perform the forensic marking on an uncompressed original content file in real time, in accordance with a forensic processing method set for the content. Further, the forensic marking apparatus includes a control unit configured to determine the forensic processing method for the content, to control the forensic processing unit so that forensic processing is performed on the content in accordance with the determined method, and to provide the forensic-processed content to the user terminal.

Abstract translation: 取证标记装置包括：预处理单元，被配置为选择性地执行对要提供给用户终端的内容进行取证处理的预处理; 以及取证处理单元，其被配置为通过组合由所述预处理单元预处理的内容文件或者对未压缩的原始内容文件实时地执行取证标记来对内容执行取证标记，根据为内容设置的取证处理方法。 此外，取证标记装置包括：控制单元，被配置为确定内容的取证处理方法，以控制取证处理单元，从而根据所确定的方法对内容执行取证处理，并提供取证的 内容到用户终端。

公开(公告)号：US09760795B2

公开(公告)日：2017-09-12

申请号：US14265283

申请日：2014-04-29

Applicant: Electronics and Telecommunications Research Institute

Inventor： Seungjae Lee ,  Sangil Na ,  Keun Dong Lee ,  Sungkwan Je ,  Da-Un Jung ,  Weon Geun Oh ,  Young Ho Suh ,  Wookho Son

IPC: G06K9/46 ,  G06F17/30

CPC classification number: G06K9/4671 ,  G06F17/30247

Abstract: A method for extracting features from an image for use in a computing device, the method comprising: producing Gaussian Scale Space (GSS) images in the type of a pyramid from the image inputted to the computing device; performing a Scale Normalized Laplacian Filtering on the GSS images; detecting interest points from the images that are subject to the Scale Normalized Laplacian Filtering; and extracting features of the image using the detected interest points.