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Maurizio Campanai

dblp:61/4599 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Software engineering, systems software and programming languages · 2Systems, architecture and hardware · 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
Information retrieval · 61% Spatial and temporal data management · 30% Data models and query languages · 9%

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

TopicWeightPapersLastEvidence papers
Information retrieval › image retrieval
content-based image retrieval
0.011993
A Three-Dimensional Iconic Environment for Image Database Querying · IEEE Trans. Software Eng. 1993
Information retrieval
image retrieval
0.011993
A Three-Dimensional Iconic Environment for Image Database Querying · IEEE Trans. Software Eng. 1993
Spatial and temporal data management › spatial databases
spatial query language
0.011993
A Three-Dimensional Iconic Environment for Image Database Querying · IEEE Trans. Software Eng. 1993
Data models and query languages › query interface
query by example
0.011993
A Three-Dimensional Iconic Environment for Image Database Querying · IEEE Trans. Software Eng. 1993

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

symbolic projections · 0.02d strings · 0.0
YearPublicationVenuePosition
1996 Metric framework for object-oriented real-time systems specification languages
Paolo Nesi, Maurizio Campanai
J. Syst. Softw.2
1995 Tools for Specifying Real-Time Systems
Giacomo Bucci, Maurizio Campanai, Paolo Nesi
Real Time Syst.2
1993 A Three-Dimensional Iconic Environment for Image Database Querying
abstract
Retrieval by contents of images from pictorial databases can be effectively performed through visual icon-based systems. In these systems, the representation of pictures with 2D strings, which are derived from symbolic projections, provides an efficient and natural way to construct iconic indexes for pictures and is also an ideal representation for the visual query. With this approach, retrieval is reduced to matching two symbolic strings. However, using 2D-string representations, spatial relationships between the objects represented in the image might not be exactly specified. Ambiguities arise for the retrieval of images of 3D scenes. In order to allow the unambiguous description of object spatial relationships, in this paper, following the symbolic projections approach, images are referred to by considering spatial relationships in the 3D imaged scene. A representation language is introduced that expresses positional and directional relationships between objects in three dimensions, still preserving object spatial extensions after projections. Iconic retrieval from pictorial databases with 3D interfaces is discussed and motivated. A system for querying by example with 3D icons, which supports this language, is also presented.>
Alberto Del Bimbo, Maurizio Campanai, Paolo Nesi
IEEE Trans. Software Eng.2