公开(公告)号：US20190164037A1

公开(公告)日：2019-05-30

申请号：US16204599

申请日：2018-11-29

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chan KIM ,  Young-Su KWON ,  Hyun Mi KIM ,  Chun-Gi LYUH ,  Yong Cheol Peter CHO ,  Min-Seok CHOI ,  Jeongmin YANG ,  Jaehoon CHUNG

IPC: G06N3/04 ,  G06N3/08 ,  G06F15/80 ,  G06F17/15

Abstract: In the present invention, by providing an apparatus for processing a convolutional neural network (CNN), including a weight memory configured to store a first weight group of a first layer, a feature map memory configured to store an input feature map where the first weight group is to be applied, an address generator configured to determine a second position spaced from a first position of a first input pixel of the input feature map based on a size of the first weight group, and determine a plurality of adjacent pixels adjacent to the second position; and a processor configured to apply the first weight group to the plurality of adjacent pixels to obtain a first output pixel corresponding to the first position, a memory space may be efficiently used by saving the memory space.

公开(公告)号：US20190164035A1

公开(公告)日：2019-05-30

申请号：US16201871

申请日：2018-11-27

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Young-Su KWON ,  Chan KIM ,  Hyun Mi KIM ,  Jeongmin YANG ,  Chun-Gi LYUH ,  Jaehoon CHUNG ,  Yong Cheol Peter CHO

IPC: G06N3/04

Abstract: A reorganizable neural network computing device is provided. The computing device includes a data processing array unit including a plurality of operators disposed at locations corresponding to a row and a column. One or more chaining paths which transfer the first input data from the operator of the first row of the data processing array to the operator of the second row are optionally formed. The plurality of first data input processors of the computing device transfer the first input data for a layer of the neural network to the operators along rows of the data processing array unit, and the plurality of second data input processors of the computing device transfer the second input data to the operators along the columns of the data processing array.

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。