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S. Choo

dblp:48/6885 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 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 graphics and multimedia
2 papers
Multimedia systems and quality of experience · 87% Multimedia analysis and retrieval · 13%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Parallel and multicore computing · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallel architecture
massively parallel architecture		 0.011996
Prospector: A Content-Based Multimedia Server for Massively Parallel Architectures · SIGMOD Conference 1996
Parallel and multicore computing › parallel architecture
massively parallel processing		 0.011996
A Content-Based Multimedia Server for Massively Parallel Architectures · SIGMOD Conference 1996
Multimedia analysis and retrieval › multimedia analysis
content analysis		 0.011996
A Content-Based Multimedia Server for Massively Parallel Architectures · SIGMOD Conference 1996

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

user-defined functions · 0.1parallel content analysis · 0.0
YearPublicationVenuePosition
1996 Prospector: A Content-Based Multimedia Server for Massively Parallel Architectures
abstract
The Prospector Multimedia Object Manager prototype is a general-purpose content analysis multimedia server designed for massively parallel processor environments. Prospector defines and manipulates user defined functions which are invoked in parallel to analyze/manipulate the contents of multimedia objects. Several computationally intensive applications of this technology based on large persistent datasets include: fingerprint matching, signature verification, face recognition, and speech recognition/translation [OIS96].
S. Choo, William O'Connell, G. Linderman, K. Ganapathi, Alexandros Biliris, Euthimios Panagos, David Schrader
 SIGMOD Conference1
1996 A Content-Based Multimedia Server for Massively Parallel Architectures
abstract
The Teradata Multimedia Object Manager is a general-purpose content analysis multimedia server designed for symmetric multiprocessing and massively parallel processing environments. The Multimedia Object Manager defines and manipulates user-defined functions (UDFs), which are invoked in parallel to analyze or manipulate the contents of multimedia objects. Several computationally intensive applications of this technology, which use large persistent datasets, include fingerprint matching, signature verification, face recognition, and speech recognition/translation.
William O'Connell, Ion Tim Ieong, David Schrader, C. Watson, Grace Au, Alexandros Biliris, S. Choo, P. Colin, G. Linderman, Euthimios Panagos, T. Walters
 SIGMOD Conference7