Semantic annotation of narrative media objects

This paper addresses the annotation of the narrative features of media objects. Based on a relevant narratological and computational background, we introduce an ontology–based model called Drammar, an annotation schema for the narrative features of media objects based on Drammar and a software tool,...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 59; no. 2; pp. 407 - 439
Main Authors Lombardo, Vincenzo, Damiano, Rossana
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.07.2012
Springer Nature B.V
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Summary:This paper addresses the annotation of the narrative features of media objects. Based on a relevant narratological and computational background, we introduce an ontology–based model called Drammar, an annotation schema for the narrative features of media objects based on Drammar and a software tool, Cinematic, for annotating these objects and validating the annotation. Annotated media objects can also be automatically edited into sequences, with the twofold goal of testing the validity of the annotation—through the reconstruction of the baseline sequence—and exploring the possibility of alternative sequences. The software tool encodes both the narrative model and the annotation itself in ontological format, and relies on external ontologies for representing world knowledge and limit the arbitrariness of the annotation. The paper opens the way to the design of a general annotation schema for narrative multimedia with the long–term goal of building large corpora of annotated video material and of bridging the gap between the low–level signal analysis and the high–level semantic representation of the narrative content of the media objects. Finally, the paper illustrates a few projects elaborated with the Drammar annotation and the Cinematic tool, with purposes of artistic research and cross–media analysis, that provide an empirical validation of the annotation process.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-011-0813-2