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Ho-Kong Ng

dblp:20/5357 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Databases, data management, data science and information retrieval · 1

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.

Databases, data mining, and information retrieval
1 paper
Spatial and temporal data management · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval
multimedia database
0.012008
MED: A Multimedia Event Database for 3D Crime Scene Representation and Analysis · ICDE 2008

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

3d scanning · 0.2
YearPublicationVenuePosition
2008 MED: A Multimedia Event Database for 3D Crime Scene Representation and Analysis
abstract
The development of sensors capable of obtaining 3D scans of crime scenes is revolutionizing the ways in which crime scenes can be analyzed and at the same time is driving the need for the development of sophisticated tools to represent and store this data. Here we describe the design of a multimedia database suitable for representing and reasoning about crime scene data. The representation is grounded in the physical environment that makes up the crime scene and provides mechanisms for representing both traditional (forms-based) data as well as 3D scan and other complex spatial data.
Marcin Kwietniewski, Stephanie Wilson, Anna Topol, Sunbir Gill, Jarek Gryz, Michael R. M. Jenkin, Piotr Jasiobedzki, Ho-Kong Ng
ICDE8