QoE- and Energy-aware Content Consumption For HTTP Adaptive Streaming

Author:

Lorenzi Daniele1ORCID

Affiliation:

1. Alpen-Adria Universität Klagenfurt, Klagenfurt, Austria

Funder

Christian Doppler Forschungsgesellschaft

Publisher

ACM

Reference35 articles.

1. Mustafa Ayazoglu . 2021 . Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2472--2479 . Mustafa Ayazoglu. 2021. Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 2472--2479.

2. A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP

3. Performance of H.264, H.265, VP8 and VP9 Compression Standards for High Resolutions

4. M. Bishop . [n.d.]. Hypertext Transfer Protocol Version 3 (HTTP/3). [Online] Available: https://quicwg.org/base-drafts/draft-ietf-quic-http.html. Accessed : 17 March 2021 . M. Bishop. [n.d.]. Hypertext Transfer Protocol Version 3 (HTTP/3). [Online] Available: https://quicwg.org/base-drafts/draft-ietf-quic-http.html. Accessed: 17 March 2021.

5. Overview of the Versatile Video Coding (VVC) Standard and its Applications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Streaming;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

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