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R. Venkatasubrahmanian

dblp:78/2480 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1997
—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 models and query languages · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Data models and query languages › query language
temporal query language
0.011997
Similarity Based Retrieval of Videos · ICDE 1997
Multimedia analysis and retrieval
video retrieval
0.011997
Similarity Based Retrieval of Videos · ICDE 1997

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

similarity semantics · 0.0hierarchical temporal logic · 0.0
YearPublicationVenuePosition
1997 Similarity Based Retrieval of Videos
abstract
The authors propose a language, called Hierarchical Temporal Logic (HTL), for specifying queries on video databases. The language is based on the hierarchical as well as temporal nature of video data. They give similarity based semantics for the logic, and give efficient methods for computing similarity values for subclasses of HTL formulas. Experimental results, indicating the effectiveness of the methods, are presented.
A. Prasad Sistla, Clement T. Yu, R. Venkatasubrahmanian
ICDE3