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학술대회 프로시딩

홈 홈 > 연구문헌 > 학술대회 프로시딩 > 한국정보과학회 학술대회 > KSC 2019

KSC 2019

Current Result Document : 415 / 415

한글제목(Korean Title) Deep Learning based Edge Caching for Virtual Reality Video Contents
영문제목(English Title) Deep Learning based Edge Caching for Virtual Reality Video Contents
저자(Author) Pyae Sone Aung   Choong Seon Hong  
원문수록처(Citation) VOL 46 NO. 02 PP. 0703 ~ 0705 (2019. 12)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
Viewing videl contents in VR headset has been inscreasing in expotential rate in recent years. Reducing the latency for Virtual Reality (VR) is quite an essential task as small latency might suffer poor streaming performance. In this paper, edge caching is proposed to store the popular contents for Virtual Reality(VR) video streaming to reduce the accessing delay and backbone traffic redundancy. To alleviate, we assume that the contents for VR have been extracted from 360° navigable videos. Due to propose prediction module at the edge base station to generate best suited deep learning model for calculating the contents' popularities. Our simulation provide better performance compared with other prediction schemes
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