MPEG-7 Pictorially Enriched Ontologies for Video Annotation

Domain Knowledge Extension with Pictorially Enriched Ontologies

Classifying video elements according to some pre-defined ontology of the video content is the typical way to perform video annotation. Ontologies are built by defining relationship between linguistic terms that describe domain concepts at different abstraction levels. Linguistic terms are appropriate to distinguish specific events and object categories but they are inadequate when they must des...

Ontologies Enriched with Visual Information for Video Annotation

Classifying video elements according to some pre-defined ontology of the video content is the typical way to perform video annotation. Ontologies are built by defining relationship between linguistic terms that describe domain concepts at different abstraction levels. Linguistic terms are appropriate to distinguish specific events and object categories but they are inadequate when they must des...

Clip Clustering for Assisted Creation of MPEG - 7 Pictorially Enriched Ontologies

Using Knowledge Representation Languages for Video Annotation and Retrieval

Effective usage of multimedia digital libraries has to deal with the problem of building efficient content annotation and retrieval tools. In particular in video domain, different techniques for manual and automatic annotation and retrieval have been proposed. Despite the existence of well-defined and extensive standards for video content description, such as MPEG-7, these languages are not exp...

Video Annotation and Retrieval with Pictorially Enriched Ontologies

Classifying video elements according to some predefined ontology of the video content domain is a typical way to perform video annotation. Ontologies are defined by establishing relationships between linguistic terms that specify domain concepts at different abstraction levels. However, although linguistic terms are appropriate to distinguish event and object categories, they are inadequate whe...