상세정보
학술지
Real-time Multi-GPU-based 8KVR Stitching and Streaming on 5G MEC/Cloud Environments
- 발행일
- 202202
- 출처
- ETRI Journal, v.44 no.1, pp.62-72
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 21HH4900, [전문연구실] 이머시브 미디어 전문연구실, 서정일
- 초록
- In this study, we propose a multi-GPU-based 8KVR stitching system that operates in real time on both local and cloud machine environments. The proposed system first obtains multiple 4혻K video inputs, decodes them, and generates a stitched 8KVR video stream in real time. The generated 8KVR video stream can be downloaded and rendered omnidirectionally in player apps on smartphones, tablets, and head-mounted displays. To speed up processing, we adopt group-of-pictures-based distributed decoding/encoding and buffering with the NV12 format, along with multi-GPU-based parallel processing. Furthermore, we develop several algorithms such as equirectangular projection-based color correction, real-time CG overlay, and object motion-based seam estimation and correction, to improve the stitching quality. From experiments in both local and cloud machine environments, we confirm the feasibility of the proposed 8KVR stitching system with stitching speed of up to 83.7 fps for six-channel and 62.7 fps for eight-channel inputs. In addition, in an 8KVR live streaming test on the 5G MEC/cloud, the proposed system achieves stable performances with 8혻K@30 fps in both indoor and outdoor environments, even during motion.
- KSP 제안 키워드
- Color correction, Distributed decoding, GPU-based, Head-mounted display(HMD), Indoor and outdoor environments, Live Streaming, Motion-based, Multi-GPU, Object motion, Parallel Processing, Real-Time
본 저작물은 공공누리 제4유형 : 출처표시 + 상업적 이용금지 + 변경금지 조건에 따라 이용할 수 있습니다.
