In this paper, a new approach for semantic extraction is proposed. Assuming that the semantics of interest associated to a multimedia document is subjective and that the user cannot easily construct a semantic description on different abstraction levels, we propose an interactive tool which allows to generate a semantic description by organizing an audio-visual document. The structural decomposition is the result of a guided annotation by the user: the user segments the input sequence in events, assigns each event to a specific class and includes other informations such as time, place and contained objects. The classification process can evolve dynamically, which means that the user can organize the semantics with various personalized and more specialized classes. Using the resulting structural descriptions and classification, our method automatically generates a richer semantic description. The system is totally MPEG-7 complaint.

Inferring semantics from structural annotations of audio–visual documents

ADAMI, Nicola;CORVAGLIA, Marzia;LEONARDI, Riccardo
2004-01-01

Abstract

In this paper, a new approach for semantic extraction is proposed. Assuming that the semantics of interest associated to a multimedia document is subjective and that the user cannot easily construct a semantic description on different abstraction levels, we propose an interactive tool which allows to generate a semantic description by organizing an audio-visual document. The structural decomposition is the result of a guided annotation by the user: the user segments the input sequence in events, assigns each event to a specific class and includes other informations such as time, place and contained objects. The classification process can evolve dynamically, which means that the user can organize the semantics with various personalized and more specialized classes. Using the resulting structural descriptions and classification, our method automatically generates a richer semantic description. The system is totally MPEG-7 complaint.
2004
0780385780
File in questo prodotto:
File Dimensione Formato  
ACL_MMSP-2004_post-print.pdf

accesso aperto

Descrizione: ACL_MMSP-2004_post-print
Tipologia: Documento in Post-print
Licenza: PUBBLICO - Creative Commons 3.6
Dimensione 167.33 kB
Formato Adobe PDF
167.33 kB Adobe PDF Visualizza/Apri
ACL_MMSP-2004_full-text.pdf

solo utenti autorizzati

Descrizione: ACL_MMSP-2004_full-text
Tipologia: Full Text
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 795.71 kB
Formato Adobe PDF
795.71 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/27457
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact