Super-resolution based bitrate adaptation for HTTP adaptive streaming for mobile devices

Author:

Nguyen Minh1,Çetinkaya Ekrem1,Hellwagner Hermann1,Timmerer Christian1

Affiliation:

1. Alpen-Adria-Universität Klagenfurt, Austria

Funder

Christian Doppler Forschungsgesellschaft

Publisher

ACM

Reference38 articles.

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2. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

3. N. Ahn , B. Kang , and K.-A. Sohn . Fast, accurate , and lightweight super-resolution with cascading residual network . In Proceedings of the European Conference on Computer Vision (ECCV) , pages 252 -- 268 , 2018 . N. Ahn, B. Kang, and K.-A. Sohn. Fast, accurate, and lightweight super-resolution with cascading residual network. In Proceedings of the European Conference on Computer Vision (ECCV), pages 252--268, 2018.

4. An experimental evaluation of rate-adaptive video players over HTTP

5. Apple. HLS Authoring Specification for Apple Devices , June 2020 . https://developer.apple.com/documentation/http_live_streaming/hls_authoring_specification_for_apple_devices. Accessed : 10 December 2021. Apple. HLS Authoring Specification for Apple Devices, June 2020. https://developer.apple.com/documentation/http_live_streaming/hls_authoring_specification_for_apple_devices. Accessed: 10 December 2021.

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2. Generative AI for HTTP Adaptive Streaming;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

3. iSAW: Intelligent Super-Resolution-Assisted Adaptive WebRTC Video Streaming;Proceedings of the 29th Annual International Conference on Mobile Computing and Networking;2023-10-02

4. QoE- and Energy-aware Content Consumption For HTTP Adaptive Streaming;Proceedings of the 14th Conference on ACM Multimedia Systems;2023-06-07

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