Quality-adaptive media streaming by priority drop
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Design of frame dependency for VCR streaming videos
Image Communication
MPEG video streaming with VCR-functionality
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Fair and timely scheduling via cooperative polling
Proceedings of the 4th ACM European conference on Computer systems
An adaptive-predictive architecture for video streaming servers
Journal of Network and Computer Applications
DOHA: scalable real-time web applications through adaptive concurrent execution
Proceedings of the 21st international conference on World Wide Web
Swift: reducing the effects of latency in online video scrubbing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient implementation of the implicit error correction nVoD schema
Multimedia Tools and Applications
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In this paper we describe the design and implementation of our adaptive media streaming system and its support for fully interactive video navigation. The system builds upon and extends previous work on adaptive streaming, to encompass coordinated adaptation of network, processor, and storage resources. The adaptation methods we describe allow our application to provide robust and responsive streaming, that supports a wider set of video navigation modes unseen before in any previous streaming application. In addition to the technical contributions toward streaming, and to shed light on the motivation for our approach, this paper also outlines a prototype application we are building above our adaptive-streaming framework for distributed collaborative video authoring. The goal of this application is to assist (distributed) teams of amateur cinematographers in authoring video projects, and, through teamwork, to elevate the quality of user generated content.