公开(公告)号：US20150063452A1

公开(公告)日：2015-03-05

申请号：US14304405

申请日：2014-06-13

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Ig Kyun KIM ,  Kyung Jin BYUN ,  Nak Woong EUM

IPC: H04N19/593 ,  H04N19/61 ,  H04N19/186 ,  H04N19/124 ,  H04N19/96 ,  H04N19/182

CPC classification number: H04N19/11 ,  H04N19/147 ,  H04N19/176 ,  H04N19/186 ,  H04N19/593 ,  H04N19/96

Abstract: Disclosed is a residual signal inter-channel intra prediction encoding method between a residual signal of a luminance component of an image and a residual signal of a chrominance component thereof. It is possible to improve an intra prediction encoding performance when the inter-channel prediction is performed between residual signal of the luminance component and the chrominance component of HEVC, and derive a prediction coefficient for linear prediction at a high speed while the quadtree block structure of the HEVC is not changed. In addition, it is advantageous to avoid degradation in inter-channel prediction performance, which is caused when quadtree block structures of prediction units (PUs) of the luminance component and the chrominance component are different.

Abstract translation: 公开了一种在图像的亮度分量的残留信号和其色度分量的残留信号之间的残留信号的信道间帧内预测编码方法。 当在亮度分量的残留信号和HEVC的色度分量之间执行信道间预测时，可以提高帧内预测编码性能，并且导出用于高速线性预测的预测系数，而四叉树块结构 HEVC没有改变。 此外，有利的是避免在亮度分量和色度分量的预测单元（PU）的四叉树块结构不同时引起的信道间预测性能的劣化。

公开(公告)号：US20160226894A1

公开(公告)日：2016-08-04

申请号：US14996505

申请日：2016-01-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Han Sung LEE ,  Ig Kyun KIM ,  Dae Sung MOON ,  Min Ho HAN

IPC: H04L29/06 ,  G06N99/00

CPC classification number: H04L63/1416 ,  G06F21/552 ,  G06N20/00 ,  H04L63/1425

Abstract: Disclosed are a method and system, capable of performing adaptive intrusion detection proactively coping with a new type of attack unknown to the system and capable of training an intrusion type classification model by using a small volume of training data, the system including a data collector configured to collect host and network log information, an input data preprocessor configured to convert data acquired through the data collector into a feature vector, which is an input type of intelligence intrusion detection, and an intelligence intrusion detection analyzer configured to perform an intrusion detection and a model update by using the extracted feature vector, and an intrusion detection learning model configured to detect an intrusion and learn classification of the type of attack based on training data.

Abstract translation: 公开了一种方法和系统，其能够主动地执行自适应入侵检测，以处理系统未知的新型攻击，并且能够通过使用小量的训练数据来训练入侵型分类模型，所述系统包括配置的数据收集器 收集主机和网络日志信息;输入数据预处理器，被配置为将通过数据收集器获取的数据转换成作为智能入侵检测的输入类型的特征向量;以及智能入侵检测分析器，被配置为执行入侵检测和 通过使用提取的特征向量进行模型更新，以及入侵检测学习模型，其被配置为基于训练数据来检测入侵类型和学习类型的分类。

公开(公告)号：US20140146884A1

公开(公告)日：2014-05-29

申请号：US13765263

申请日：2013-02-12

Applicant: Electronics and Telecommunications Research Institute

Inventor： Seung Hyun CHO ,  Hyun Mi KIM ,  Seong Mo PARK ,  Ig Kyun KIM ,  Kyoung Seon SHIN ,  Kyung Jin BYUN

IPC: H04N7/26

CPC classification number: H04N19/50 ,  H04N19/103 ,  H04N19/119 ,  H04N19/147 ,  H04N19/176 ,  H04N19/96

Abstract: The present invention provides a fast prediction mode determination method of a video encoder that may remove an unnecessary operation of an encoder by selectively terminating early or omitting a splitting process and a pruning process based on a probability distribution of rate-distortion values, and thereby enables the encoder to quickly determine a prediction mode. The present invention may include a method that may adaptively change a termination and omission determination criterion of the splitting process and the pruning process based on a characteristic of an input image. When using the method provided by the present invention, reliability regarding the termination and omission determination of the splitting process and the pruning process may be set and thus, it is possible to adjust the tradeoff between a decrease in an operation amount and a quality degradation of the encoder.

Abstract translation: 本发明提供了一种视频编码器的快速预测模式确定方法，其可以通过基于速率失真值的概率分布来选择性地终止或省略分离处理和修剪过程来选择性地终止编码器的不必要操作，从而使能 编码器快速确定预测模式。 本发明可以包括可以基于输入图像的特性自适应地改变分割处理和修剪处理的终止和省略确定标准的方法。 当使用本发明提供的方法时，可以设置关于分割处理和修剪过程的终止和省略确定的可靠性，因此可以调整操作量的降低和质量劣化之间的权衡 编码器。