Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Pilho Kim

dblp:20/6500 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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
Data stream processing · 77% Query processing and optimization · 23%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data stream processing
continuous query processing
0.012004
Using Stream Semantics for Continuous Queries in Media Stream Processors · ICDE 2004
Query processing and optimization › semantic query processing
semantic query optimization
0.012004
Using Stream Semantics for Continuous Queries in Media Stream Processors · ICDE 2004

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

stream semantics · 0.1query optimization · 0.1
YearPublicationVenuePosition
2004 Using Stream Semantics for Continuous Queries in Media Stream Processors
abstract
In the case of media and feature streams, explicit inter-stream constraints exist and can be exploited in the evaluation of continuous queries in the spirit of semantic query optimization. We express these properties using a media stream declaration language MSDL. In the demonstration, we present IMMERSI-MEET, an application built around an immersive environment. The IMMERSI-MEET system distinguishes between continuous streams, where values of different types come at a specified data rate, and discrete streams where sources push values intermittently. In MSDL, any dependence declaration must have at least one dependency specifying predicate in the body. As stream declarations are registered, the stream constraints are interpreted to construct a set of evaluation directives.
Amarnath Gupta, Bin Liu 0010, Pilho Kim, Ramesh Jain 0001
ICDE3