Multimedia analysis and reuse of raw un-edited audio visual content known as rushes is gaining acceptance by a large number of research labs and companies. A set of research projects are considering multimedia indexing, annotation, search and retrieval in the context of European funded research, but only the FP6 project RUSHES is focusing on automatic semantic annotation, indexing and retrieval of raw and un-edited audio-visual content. Even professional content creators and providers as well as home-users are dealing with this type of content and therefore novel technologies for semantic search and retrieval are required. In this paper, we present a summary of the most relevant achievements of the RUSHES project, focusing on specific approaches for automatic annotation as well as the main features of the final RUSHES search engine.

RUSHES—an annotation and retrieval engine for multimedia semantic units

BENINI, Sergio
Membro del Collaboration Group
;
LEONARDI, Riccardo
Membro del Collaboration Group
;
2010-01-01

Abstract

Multimedia analysis and reuse of raw un-edited audio visual content known as rushes is gaining acceptance by a large number of research labs and companies. A set of research projects are considering multimedia indexing, annotation, search and retrieval in the context of European funded research, but only the FP6 project RUSHES is focusing on automatic semantic annotation, indexing and retrieval of raw and un-edited audio-visual content. Even professional content creators and providers as well as home-users are dealing with this type of content and therefore novel technologies for semantic search and retrieval are required. In this paper, we present a summary of the most relevant achievements of the RUSHES project, focusing on specific approaches for automatic annotation as well as the main features of the final RUSHES search engine.
2010
UE
PE6_11 Machine learning, statistical data processing and applications using signal processing (eg. speech, image, video)
PE6_8 Computer graphics, computer vision, multi media, computer games
Esperti anonimi
Inglese
Internazionale
STAMPA
MTAP-48 (1)
23
49
27
Rushes; Video retrieval; Annotation; Visualisation
Sogg. privati ital. no profit
10
info:eu-repo/semantics/article
262
Oliver, Schreer; Ingo, Feldmann; Isabel Alonso, Mediavilla; Pedro, Concejero; Abdul H., Sadka; Mohammad Rafiq, Swash; Benini, Sergio; Leonardi, Riccar...espandi
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/98119
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