Bandwidth-Efficient Multi-video Prefetching for Short Video Streaming-Reference-Cited by-同舟云学术

Bandwidth-Efficient Multi-video Prefetching for Short Video Streaming

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
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Author:

Zuo Xutong¹,Li Yishu¹,Xu Mohan¹,Ooi Wei Tsang²,Liu Jiangchuan³,Jiang Junchen⁴,Zhang Xinggong⁵,Zheng Kai⁶,Cui Yong¹

Affiliation:

1. Tsinghua University, Beijing, China

2. National University of Singapore, Singapore City, Singapore

3. Simon Fraser University, British Columbia, Canada

4. University of Chicago, Chicago, IL, USA

5. Peking University, Beijing, China

6. Huawei Technologies, Beijing, China

Funder

Singapore Ministry of Education Academic Research Fund Tier 1

National Nature Science Foundation of China

National Key R&D Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3551584

Reference19 articles.

1. Smart Streaming for Online Video Services

2. Xianda Chen , Tianxiang Tan , and Guohong Cao . 2019 . Energy-aware and contextaware video streaming on smartphones . In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS). IEEE, 861--870 . Xianda Chen, Tianxiang Tan, and Guohong Cao. 2019. Energy-aware and contextaware video streaming on smartphones. In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS). IEEE, 861--870.

3. A Itrans Competition . 2022 . ACM MULTIMEDIA 2022 Grand Challenge. Retrieved May 13, 2022 from https://github.com/AItransCompetition/Short-Video- Streaming-Challenge AItrans Competition. 2022. ACM MULTIMEDIA 2022 Grand Challenge. Retrieved May 13, 2022 from https://github.com/AItransCompetition/Short-Video- Streaming-Challenge

4. LiveClip

5. A buffer-based approach to rate adaptation

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