Sungkyunkwan University

Agency for Defense Development

Jong Hwan Ko

Jeung Won Choi

Joo Chan Lee

Dong Hyun Kim

Mun Churl Kim

Hyun Young Park

Donghyun Kim

Seung Ho Baek

Hwangjun Song

Dae Eun Kim

Se Hwan Ki

Jaewoo Kim

Ju Hyun Jung

Jongman Lee

Kyungwoo Kim

Yunmin Go

Ki Nam Jun

No-Hyerok Park

No Hyeok Park

The present disclosure relates to a deep neural network-based object detection device, system, and method, and more particularly, to a deep neural network-based object detection device, system, and method capable of rapidly detecting an object in an image in real time.

Deep neural network-based object detection method, and cloud server and edge device performing deep neural network-based object detection method

The present disclosure relates to a deep neural network-based real-time inference apparatus, system, and method, and more particularly, to a deep neural network-based real-time inference apparatus, system, and method capable of accelerating image inference.

Deep neural network-based real-time inference method, and cloud device and edge device performing deep neural network-based real-time inference method

Provided are a method and an apparatus for performing scalable video decoding, wherein the method and the apparatus down-sample input video, determine the down-sampled input video as base layer video, generate prediction video for enhancement layer video by applying an up-scaling filter to the base layer video, and code the base layer video and the prediction video, wherein the up-scaling filter is a convolution filter of a deep neural network.

Apparatus and method for performing scalable video decoding

An apparatus for adaptive streaming in multiple narrowband wireless communication environment comprises a communication unit configured to perform multi-communication with a server using a TCP and an UDP, a network monitor unit configured to collect state information on each of a plurality of narrowband networks, and a parameter control unit configured to: based on the collected state information on each of the plurality of narrowband networks, select a quality of video segment to be requested and one of the TCP protocol and the UDP protocol to be used in each of the plurality of narrowband networks, or determine a data size of redundant data for data loss restoration for each of the plurality of narrowband networks.

Method and apparatus for adaptive streaming based on hybrid TCP and UDP in multiple narrowband wireless communication environment

Growing community of inventors

Suwon-si, South Korea

Jong Hwan Ko