Demo Data from VLDB 2026 / reviewers in the wild / expert
Hanford H. Chan
dblp:72/2094
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › resource allocation
bandwidth allocation |
0.0 | 1 | 1997 | 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 |
0.0 | 1 | 1997 | 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 |
0.0 | 1 | 1997 | 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 |
0.0 | 1 | 1997 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Lossless Aggregation: A Scheme for Transmitting Multiple Stored VBR Video Streams over a Shared Communications Channel Without Loss of Image QualityabstractThis 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 channelabstractVideo 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 |