Digital Image Processing
Popularity-Aware Greedy Dual-Size Web Proxy Caching Algorithms
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Cost-aware WWW proxy caching algorithms
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
The MPEG-4 fine-grained scalable video coding method for multimediastreaming over IP
IEEE Transactions on Multimedia
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
Workload generation for YouTube
Multimedia Tools and Applications
Review: A survey of schemes for Internet-based video delivery
Journal of Network and Computer Applications
A survey on YouTube streaming service
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Proceedings of the 3rd Multimedia Systems Conference
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Progressive download of multimedia objects over the Internet (e.g. www.youtube.com), where the video is downloaded and viewed during the download process, has become an increasingly popular alternative to multimedia streaming. Due to the fluctuating bandwidth and latency of the Internet, progressive download is often not fast enough, often resulting in intermittent stalling of the video. In this paper, we first propose a variation of the existing MPEG Fine Grained Scalability (FGS) profile to create a layered video representation that is suitable for progressive download in an environment characterized by varying bitrate. We also propose an efficient caching scheme that is specifically tailored for the proposed layered video representation. The proposed layered version of the Greedy-Dual-Size cache replacement policy is shown to reduce the latency observed by the client during progressive download of video in a varying bitrate environment. Experimental results demonstrate that the proposed caching scheme improves the latency of progressive video downloads as well as the server efficiency.