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Loic Favory

dblp:98/683 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

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

Graphics, 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.

Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval
video retrieval		 0.012002
SIRSALE: a large scale video indexing and content-based retrieving system · ACM Multimedia 2002
Information retrieval › multimedia analysis and retrieval
video browsing		 0.012002
SIRSALE: a large scale video indexing and content-based retrieving system · ACM Multimedia 2002

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

graphical query tool · 0.1distributed repositories · 0.1
YearPublicationVenuePosition
2002 SIRSALE: a large scale video indexing and content-based retrieving system
abstract
This paper presents the SIRSALE system. SIRSALE is a video management system that allows users to deal with video streams stored in distributed repositories. SIRSALE is based on a modular model that allows adapting the system to deal with specific semantic contexts. Thus SIRSALE allows users to browse documents by structures (shots, scenes, sequences), to annotate the content of the video documents and to query the database by content, by using a graphical tool adapted to the user's specific topic of interest. The system has been demonstrated to professionals with a positive feedback.
Ahmed Mostefaoui, Loic Favory, Lionel Brunie
 ACM Multimedia2