Enhancing Video Streaming Performance on Mobile Devices with Super Resolution
Author | : Allen Gao |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
ISBN-10 | : OCLC:1389346615 |
ISBN-13 | : |
Rating | : 4/5 (15 Downloads) |
Download or read book Enhancing Video Streaming Performance on Mobile Devices with Super Resolution written by Allen Gao and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's fast-paced society, video sharing has become a fundamental mode of communication, with social media platforms like TikTok, Instagram, and YouTube leading the way. However, network bandwidth limitations can significantly impact a user's quality of experience (QoE) and overall satisfaction with these platforms. As such, finding efficient methods to improve the user's QoE under challenging network environments is of great interest. Recent advancements in mobile device processing power have enabled the development of a novel approach that utilizes mobile-side computation to perform super-resolution on video segments, aiming to enhance video quality, resolution, and visual details, ultimately leading to an improved QoE for users in poor network settings. In this thesis, we present a novel approach to optimize video streaming on mobile devices by integrating AI-based super-resolution algorithms, leveraging the computational capabilities of mobile devices to achieve better video quality in challenging network environments. Our research focuses on enhancing the Quality of Experience (QoE) while minimizing network bandwidth consumption in various network conditions. We developed the I-FRSR algorithm, which focuses on I-frame super-resolution, and conducted experiments in controlled environments. Through our experiments, we have shown that we could save a significant portion of bandwidth with I-FRSR with similar processing time and reasonable quality performance. The results demonstrate promising performance improvements, laying a good starting point for further optimization of video streaming technology.