A client-based adaptation framework for 360-degree video streaming
| Autor: | Duc V. Nguyen, Truong Cong Thang, Huyen T. T. Tran |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Viewport
Multimedia business.industry Computer science 020207 software engineering Context (language use) 02 engineering and technology Virtual reality Video quality computer.software_genre Task (project management) Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology Key (cryptography) 020201 artificial intelligence & image processing The Internet Computer Vision and Pattern Recognition Electrical and Electronic Engineering business Adaptation (computer science) computer |
| Zdroj: | Journal of Visual Communication and Image Representation. 59:231-243 |
| ISSN: | 1047-3203 |
| Popis: | 360-degree video is one of the key components of Virtual Reality (VR) applications. 360-degree videos viewed on Head Mounted Displays can offer impressive viewing experiences to users. Yet, streaming of 360-degree videos over the Internet is a very challenging task since it requires extremely high bandwidth. To reduce the bandwidth requirement while still providing good experiences, viewport adaptive streaming has been introduced. In this paper, we propose a client-based adaptation framework for viewport adaptive streaming of 360 videos, which can support different application scenarios. The key components and important issues are presented with a general problem formulation for tile version selection. Especially, we introduce for the first time the use of bitrate and quality estimation in viewport adaptive streaming of 360 videos. Experiments show that the proposed framework can significantly improve video quality for users. In addition, the impacts of buffering delay and projection formats in VR context are investigated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect