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Abstract: Supporting independent VCR-like interactivity in true-video-on-demand requires the allocation of channel to each interactive user. In the worst case, the system must be provisioned with a unique channel for each user. A variety of techniques have been proposed to ease this requirement by aggregating users into groups. Bridging of the temporal skew between users viewing the same content is one such technique that achieves this result. In this paper we describe a prototype video-on-demand system... (Update)
Context of citations to this paper: More
.... demonstrated that speeding up a video stream by approximately 7 does not result in a perceivable di erence in visual quality[14, 4]. A trailing stream can be accelerated towards a leading stream until both of them are at the same position in the program [13] At...
...which separates requests into groups by bridging the temporal skew between them. This is achieved through rate adaptation [12] [13] where frames are selectively dropped from the transmitting side and, at the receiver s end, interpolation techniques are used to compensate...
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Scheduling Split Intervals - Bar-Yehuda, Halldórsson.. (Correct)
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0.2: Stream Clustering Problems in Video-On-Demand: Optimal.. - Basu, Krishnan, Little (1999) (Correct)
0.2: Optimal Stream Clustering Problems in Video-on-Demand - Basu, Krishnan, Little (1998) (Correct)
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5: On Optimal Piggyback Merging Policies for Video-On-Demand Systems (context) - Aggarwal, Wolf et al. - 1996
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BibTeX entry: (Update)
P. Basu, A. Narayanan, R. Krishnan, and T.D.C. Little. An Implementation of Dynamic Service Aggregation for Interactive Video Delivery. In Proc. SPIE - Multimedia Computing and Networking, 1998. http://citeseer.ist.psu.edu/basu98implementation.html More
@misc{ basu98implementation,
author = "P. Basu and A. Narayanan and R. Krishnan and T. Little",
title = "An Implementation of Dynamic Service Aggregation for Interactive Video
Delivery",
text = "P. Basu, A. Narayanan, R. Krishnan, and T.D.C. Little. An Implementation
of Dynamic Service Aggregation for Interactive Video Delivery. In Proc.
SPIE - Multimedia Computing and Networking, 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/basu98implementation.html" }
Citations (may not include all citations):118 Information Technology - Coding of Moving Pictures and Assoc.. (context) - IEC - 1993
82 the use of multicast delivery to provide a scalable and inte.. - Almeroth, Ammar - 1996
56 System architecture for a large scale video on demand servic.. (context) - Sincoskie - 1991
51 Prospects for interactive video-on-demand (context) - Little, Venkatesh - 1994
35 Buffering and caching in large-scale video servers - Dan, Dias et al. - 1995
18 Reducing I/O demand in video-on-demand storage servers - Golubchik, Lui et al. - 1995
11 A failure and overload tolerance mechanism for continuous me.. - Krishnan, Venkatesh et al. - 1997
8 Service aggregation through a novel rate adaptation techniqu.. (context) - Krishnan, Little - 1997
1 java-media/jmf (context) - Framework, java et al.
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://hulk.bu.edu/pubs/abstracts.html): More
Optimal Stream Clustering Problems in Video-on-Demand - Basu, Krishnan, Little (1998) (Correct)
Automatic Composition Techniques for Video Production - Ahanger, Little (1998) (Correct)
Easy Ed: An Integration of Technologies for Multimedia Education - Ahanger, Little (1997) (Correct)
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