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Shu Lin 0004

dblp:20/1643-4 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2001
—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-authorGraphics, computer vision, multimedia, augmented reality and games · 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
3 papers
Database system architecture and tuning · 35% Information retrieval · 30% Distributed and cloud data management · 26%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › hashing › hash table design
extendible hashing		 0.012001
An Extendible Hash for Multi-Precision Similarity Querying of Image Databases · VLDB 2001
Multimedia analysis and retrieval › image retrieval
content-based image retrieval		 0.012001
Similarity queries in the DISIMA image DBMS · ACM Multimedia 2001
Multimedia analysis and retrieval › similarity search
similarity queries		 0.012001
Similarity queries in the DISIMA image DBMS · ACM Multimedia 2001
Query processing and optimization
similarity query processing		 0.012001
An Extendible Hash for Multi-Precision Similarity Querying of Image Databases · VLDB 2001
YearPublicationVenuePosition
2001 Similarity queries in the DISIMA image DBMS
abstract
In the DISIMA system, an image is composed of salient objects that are regions of interest in the image. A salient object has some syntactic properties (shape, color, textures) on which some similarity searches are defined. In addition, a global multi-precision image similarity based on multi-scale color histograms allows similarity queries on images and sub-images.
Vincent Oria, M. Tamer Özsu, Shu Lin 0004, Paul Iglinski
 ACM Multimedia3
2001 An Extendible Hash for Multi-Precision Similarity Querying of Image Databases
Shu Lin 0004, M. Tamer Özsu, Vincent Oria, Raymond T. Ng
 VLDB1
2000 DISIMA: A Distributed and Interoperable Image Database System
abstract
No abstract available.
Vincent Oria, M. Tamer Özsu, Paul Iglinski, Shu Lin 0004, Benjamin Bin Yao
 SIGMOD Conference4