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Thomas M. Alisi

dblp:19/6044 · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2012
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 4 · 4 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 56% Knowledge graphs · 44%
Human-computer interaction and pervasive computing
2 papers
Immersive interaction · 79% Collaborative and social computing · 21%
Computer graphics and multimedia
2 papers
Multimedia analysis and retrieval · 74% Visualization and visual analytics · 26%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
search engines
0.112009
Sirio: an ontology-based web search engine for videos · ACM Multimedia 2009
Multimedia analysis and retrieval
video annotation
0.112009
Arneb: a rich internet application for ground truth annotation of videos · ACM Multimedia 2009
Visualization and visual analytics › video visualization
multimedia visualization
0.012010
Natural interaction for cultural heritage: the archaeological site of Shawbak · ACM Multimedia 2010
Collaborative and social computing › social computing
social annotation
0.012009
Arneb: a rich internet application for ground truth annotation of videos · ACM Multimedia 2009

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

query expansion · 0.1ontology reasoning · 0.1
YearPublicationVenuePosition
2012 LIT: transcription, annotation, search and visualization tools for the Lexicon of the Italian Television
Thomas M. Alisi, Alberto Del Bimbo, Andrea Ferracani, Tiberio Uricchio, Ervin Hoxha, Besmir Bregasi
Multim. Tools Appl.1
2010 Natural interaction for cultural heritage: the archaeological site of Shawbak
abstract
One of the most interesting issues in the field of cultural heritage is the adoption of multimedia systems for the visualization and organization of information. In this paper we present a natural interaction based system designed to represent multimedia contents related to the archaeological site of Shawbak, situated in the Petra region of Jordan. Contents are composed of texts, images and videos showing and explaining the archeological site areas and the history of the castle. This system was installed at the Limonaia di Palazzo Pitti (Italy) for the archeological exhibition called "From Petra to Shawbak".
Thomas M. Alisi, Gianpaolo D'Amico, Andrea Ferracani, Lea Landucci, Nicola Torpei
ACM Multimedia1
2009 Arneb: a rich internet application for ground truth annotation of videos
abstract
In this technical demonstration we show the current version of Arneb, a web-based system for manual annotation of videos, developed within the EU VidiVideo project. This tool has been developed with the aim of creating ground truth annotations, that can be used for training and evaluating automatic video annotation systems. Annotations can be exported to MPEG-7 and OWL ontologies. The system has been developed according to the Rich Internet Application paradigm, allowing collaborative web-based annotation.
Thomas M. Alisi, Marco Bertini 0001, Gianpaolo D'Amico, Alberto Del Bimbo, Andrea Ferracani, Federico Pernici, Giuseppe Serra 0001
ACM Multimedia1
2009 Sirio: an ontology-based web search engine for videos
abstract
In this technical demonstration we show a web video search engine based on ontologies, the Sirio system, that has been developed within the EU VidiVideo project. The goal of the system is to provide a search engine for videos for both technical and non-technical users. In fact, the system has different interfaces that permit different query modalities: free-text, natural language, graphical composition of concepts using boolean and temporal relations and query by visual example. In addition, the ontology structure is exploited to encode semantic relations between concepts permitting, for example, to expand queries to synonyms and concept specializations.
Thomas M. Alisi, Marco Bertini 0001, Gianpaolo D'Amico, Alberto Del Bimbo, Andrea Ferracani, Federico Pernici, Giuseppe Serra 0001
ACM Multimedia1