Realtime Semantic Enrichment of Video Streams in the Age of Big Data
This paper describes AgileRAI, a framework for searching, organizing, and accessing multimedia data in a fast and semantic-driven way. AgileRAI supports realtime 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., faces, logos, and monuments) in order to produce a set of metatags 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.
- Print ISSN
- 1545-0279
- Electronic ISSN
- 2160-2492
- Published
- 2019-01
- Content type
- Original Research
- Keywords
- Big Data applications, content-based retrieval, distributed information systems, pipeline processing, Semantic Web
- DOI
- 10.5594/JMI.2018.2880364