FROM VIDEO SEGMENTATION TO SEMANTIC INDEXING: THE PRESTOSPACE APPROACH

This paper will present the contribution of the European PrestoSpace project to the study and development of a Metadata Access and Delivery ( MAD) platform for multimedia and television broadcast archives. The MAD system aims at generating, validating and delivering to archive users metadata created by automatic and semi- automatic information extraction processes. The MAD publication platform employs audiovisual content analysis, speech recognition (ASR) and semantic analysis tools. It then provides intelligent facilities to access the imported and newly produced metadata. The possibilities opened by the PrestoSpace framework to intelligent indexing and retrieval of multimedia objects within large scale archives apply as well to more general scenarios where semantic information is needed to cope with the complexity of the search process.