Building a visual ontology for video retrieval

To ensure access to growing video collections, annotation is becoming more and more important. Using background knowledge in the form of ontologies or thesauri is a way to facilitate annotation in a broad domain. Current ontologies are not suitable for (semi-) automatic annotation of visual resources as they contain little visual information about the concepts they describe. We investigate how an ontology that does contain visual information can facilitate annotation in a broad domain and identify requirements that a visual ontology has to meet. Based on these requirements, we create a visual ontology out of two existing knowledge corpora (WordNet and MPEG-7) by creating links between visual and general concepts. We test performance of the ontology on 40 shots of news video, and discuss the added value of each visual property. Categories and Subject Descriptors: H [Information Storage and Retrieval] General Terms: Documentation, Standardization

• Type: Conference
• Year: 2005
• Where: MM
• Authors: Laura Hollink, Marcel Worring
• Keywords: Annotation, MM 2005, Visual, Visual Ontology