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Hanford H. Chan

dblp:72/2094 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Content delivery and video streaming · 61% Network optimization and economics · 30% Transport protocols and congestion control · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics › resource allocation
bandwidth allocation
0.011997
Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality · IEEE J. Sel. Areas Commun. 1997
Content delivery and video streaming › video traffic
variable-bit-rate video
0.011997
Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality · IEEE J. Sel. Areas Commun. 1997
Content delivery and video streaming
video transmission
0.011997
Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality · IEEE J. Sel. Areas Commun. 1997
Transport protocols and congestion control › reliable transport
receiver buffer management
0.011997
Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality · IEEE J. Sel. Areas Commun. 1997

Methods — techniques the papers use, named apart from their topics

traffic reshaping · 0.0scheduling · 0.0
YearPublicationVenuePosition
1997 Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image Quality
abstract
This paper introduces a new concept called lossless aggregation for the transmission of video information. It is a scheme for the delivery of variable bit-rate (VBR) video streams from a video server to a group of users over a shared channel. No data are dropped at the source during the adaptation process that reshapes the VBR video traffic to conform to the channel bit-rate characteristics. The transmission schedules of individual video streams evolve in a dynamic way that depends on their relative traffic characteristics. Receiver buffer underflow and overflow are prevented. Therefore, the data delivery process does not cause any loss of image quality. We show that very significant receiver-buffer reduction can be achieved with aggregation compared with the independent transmission of individual video streams over separate channels. Several bandwidth allocation methods for aggregation are studied extensively. The frame equalization algorithm stands out in terms of its simplicity and optimality.
Soung Chang Liew, Hanford H. Chan
IEEE J. Sel. Areas Commun.2
1996 Lossless aggregation for transporting stored video over a CBR communications channel
abstract
Video information can be transmitted using a variable bit rate (VBR) or a constant bit rate (CBR) virtual channel in a broadband network (e.g., an ATM network). CBR transmission has many advantages from the networking standpoint: multiplexing, bandwidth allocation, user/network contractual agreement, and network-usage tariff are all simpler under the CBR transmission framework. This paper considers how to deliver video over a CBR channel. It introduces a new concept called lossless aggregation for the transmission of a bundle of stored videos over a common channel. No data is dropped during the adaptation process and hence it does not cause any image degradation. We show that significant receiver buffer reduction can be achieved using lossless aggregation.
Hanford H. Chan, Soung Chang Liew
ICIP (1)1