Developing a predictive model of quality of experience for internet video

Author:

Balachandran Athula1,Sekar Vyas2,Akella Aditya3,Seshan Srinivasan1,Stoica Ion4,Zhang Hui1

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Stony Brook University, Stony Brook, NY, USA

3. University of Wisconsin Madison, Madison, WI, USA

4. University of California Berkeley, Berkeley, CA, USA

Publisher

ACM

Reference41 articles.

1. Buyer's Guide: Content Delivery Networks. http://goo.gl/B6gMK. Buyer's Guide: Content Delivery Networks. http://goo.gl/B6gMK.

2. Cisco study. http://goo.gl/tMRwM. Cisco study. http://goo.gl/tMRwM.

3. Driving Engagement for Online Video. http://goo.gl/pO5Cj. Driving Engagement for Online Video. http://goo.gl/pO5Cj.

4. Microsoft Smooth Streaming. http://goo.gl/6JOXh. Microsoft Smooth Streaming. http://goo.gl/6JOXh.

5. P.800 : Methods for subjective determination of transmission quality. http://www.itu.int/rec/T-REC-P.800-199608-I/en. P.800 : Methods for subjective determination of transmission quality. http://www.itu.int/rec/T-REC-P.800-199608-I/en.

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1. Don't Forget the User;Proceedings of the 22nd ACM Workshop on Hot Topics in Networks;2023-11-28

2. QUTY: Towards Better Understanding and Optimization of Short Video Quality;Proceedings of the 14th Conference on ACM Multimedia Systems;2023-06-07

3. QoE-Aware Content Oriented Path Optimization Framework with Egress Peer Engineering;2022 Tenth International Symposium on Computing and Networking (CANDAR);2022-11

4. Distributed Gateway Selection for Video Streaming in VANET Using IP Multicast;ACM Transactions on Multimedia Computing, Communications, and Applications;2022-03-04

5. ABRaider: Multiphase Reinforcement Learning for Environment-Adaptive Video Streaming;IEEE Access;2022

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