1996
DOI: 10.1016/0923-5965(95)00047-x
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Development of Columbia's video on demand testbed

Abstract: This paper reports on our progress in developing an advanced video-on-demand (VOD) testbed, which will accommodate various multimedia research and applications such as Electronic News on Demand, Columbia's Video Course Network, and Digital Libraries. Two different prototypes have been completed. The first generation of the testbed was based on a constant-bit-rate (CBR) video server utilizing Ethernet delivery. Contents were encoded and stored as MPEG-2 audio/video elementary streams. Software encoders/ decoder… Show more

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Cited by 35 publications
(11 citation statements)
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“…The QBIC approach is limited to using low-level features to achieve some degree of automation and domain independence. Following that, several systems such as VisualSeek (Chang et al, 1997;Smith & Chang, 1996), PicHunter (Cox, Miller, Minka, Papathomas, & Yianilos, 2000), Netra (Ma & Manjunath, 1999), and MARS (Mehrotra, Rui, Ortega-Binderberger, Huang, 1997), etc. ) have exploited the use of multidimensional indexing.…”
Section: Related Work In Image Retrievalmentioning
confidence: 98%
See 2 more Smart Citations
“…The QBIC approach is limited to using low-level features to achieve some degree of automation and domain independence. Following that, several systems such as VisualSeek (Chang et al, 1997;Smith & Chang, 1996), PicHunter (Cox, Miller, Minka, Papathomas, & Yianilos, 2000), Netra (Ma & Manjunath, 1999), and MARS (Mehrotra, Rui, Ortega-Binderberger, Huang, 1997), etc. ) have exploited the use of multidimensional indexing.…”
Section: Related Work In Image Retrievalmentioning
confidence: 98%
“…However, when the dimensionality of the feature vectors is large, the performance of these indexing techniques deteriorates. VisualSeek (Chang et al, 1997;Smith & Chang, 1996) used color as a discriminating feature for image retrieval. For a given query, the images in the image database are ranked based on the real distance between the query image and the images in the image database.…”
Section: Related Work In Image Retrievalmentioning
confidence: 99%
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“…We then provide an example of this methodology by applying it to the Columbia VoD testbed [8]. The goal of our model is to provide an end-to-end QoS.…”
Section: Introductionmentioning
confidence: 99%
“…In either case, simplifying assumptions are necessarily made (e.g., abstracting out control/signaling overhead, operating system issues such as the interaction between disk and CPU scheduling, multicast join/leave times, and more) to evaluate performance. While there are a number of existing production (e.g., Darwin, RealServer, Windows Media Server, Oracle Video Server) and experimental video server efforts [8][9][10][11][12][13][14][15][16][17][18], all of them use traditional unicast or multicast streaming.…”
Section: Introductionmentioning
confidence: 99%