Real time semantic enrichment of broadcast content in the big data age
Maurizio Montagnuolo, Alberto Messina, Nicolò Bidotti, Paolo Platter, Alessio Bosca · 2017
This paper describes AgileRAI, a framework for searching, organising and accessing multimedia data in a fast and semantic-driven way. AgileRAI supports real time ingestion of video streams on which different machine learning techniques (such as global and local visual features extraction and matching) are applied in a parallel and scalable way. Extracted features are matched to a reference database of visual patterns (e.g. buildings, paintings, monuments) in order to produce a set of meta-tags describing the ingested contents. Furthermore, these tags are semantically enriched using open semantic data repositories. The system is designed with a scale-out pattern architecture based on Apache Spark, ensuring high-performance in Big Data management environments.