Abstract
HTTP Adaptive Streaming (HAS) is the widely adopted solution for video streaming over the Internet. When network throughput is highly variable, designing an optimal HAS solution that maximizes Quality of Experience (QoE) becomes challenging. Each chunk should be prefetched at highest possible quality while rebufferings and quality switches are minimized. Scalable Video Coding (SVC), with its layered encoding of video, provides more flexibility for HAS clients. It can reduce the occurrence of rebufferings under variable network conditions. However, SVC introduces at least 10% overhead on video bitrate per layer and increases the number of HTTP requests to fetch video chunks. So streaming SVC video at high qualities is more expensive. We propose a solutions that employs both SVC and non-SVC video to improve user's QoE while avoiding the increased bandwidth overhead and HTTP signaling of SVC. Our experiments using real-world bandwidth traces show that this method improves QoE compared to the state-of-the-art adaptation methods under various network conditions.
Published Version
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