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Calvin K. H. Chiu

dblp:75/498 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2

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 graphics and multimedia
1 paper
Multimedia systems and quality of experience · 50% Multimedia analysis and retrieval · 50%
Computer networks
1 paper
Edge and fog computing · 50% Wireless networking · 50%

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

TopicWeightPapersLastEvidence papers
Multimedia systems and quality of experience › mobile multimedia
mobile video streaming		 0.012003
Mobile video stream monitoring system · ACM Multimedia 2003
Multimedia analysis and retrieval › video surveillance
video stream monitoring		 0.012003
Mobile video stream monitoring system · ACM Multimedia 2003
Edge and fog computing › mobile edge computing
computation offloading		 0.012003
Mobile video stream monitoring system · ACM Multimedia 2003
Wireless networking
mobile computing		 0.012003
Mobile video stream monitoring system · ACM Multimedia 2003

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

workload partitioning · 0.1
YearPublicationVenuePosition
2007 The design of a wireless real-time visual surveillance system
Kam-yiu Lam, Calvin K. H. Chiu
 Multim. Tools Appl.2
2003 Mobile video stream monitoring system
abstract
IMVS (Intelligent Mobile Video Stream Monitoring System) is a mobile video surveillance system. The objective of IMVS is to design a high performance video stream monitoring system in a mobile computing environment. In particular, the technical questions to be addressed are: (1) how to minimize the amount of video signals to be transmitted between the front-end mobile device and the backend server over the mobile network; and (2) how to divide the jobs to be performed between the front-end and backend processes so that the workload at the front-end mobile device can be maintained within its processing capacity.
Kam-yiu Lam, Calvin K. H. Chiu
 ACM Multimedia2