Edge-FVV: Free Viewpoint Video Streaming by Learning at the Edge
Author:
Affiliation:
1. National Key Laboratory for Multimedia Information Processing,China
2. University of Bath,UK
3. Institute of Information Engineering of CAS,China
4. IQIYI Science & Technology Co., Ltd.,China
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219734.pdf?arnumber=10219734
Reference22 articles.
1. Nerf: Representing scenes as neural radiance fields for view synthesis;mildenhall;ECCV,2020
2. Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
3. Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events
4. Fast Free-viewpoint Video Synthesis Algorithm for Sports Scenes
5. Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
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1. A Priority Aware Free Viewpoint Video Transmit Scheme Based on QUIC;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19
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