"Scene-Level Television Metadata — Tagging TV — is The New Oil in the Industry"
There are, essentially two ways to tag video entertainment. Curated and automated. And both have their pros and cons. Manually tagging millions of programmes and shows is going to take a decade of Mechanical Turks but this really offers up the best metadata. There are companies that are using technologies to automate the process such as Speech to Text, Video Recognition technologies, Audio Fingerprinting, Natural Language Processing techniques, and when available, Closed Caption data to create temporal tagging of content to provide a clear view of what is happening when within a piece of video.
Probably the best way is to do a combination of both. Automated then moderated/curated by humans.
The Brussel’s funded FP7 EU NoTube project aims to show how Semantic Web technologies can be used to connect TV content and the Web through Linked Open Data, as part of the trend of TV and Web convergence. They are focussing on BMF 2.0 (Broadcast Metadata Exchange Format), the rather outdated TV-Anytime, as an internationally agreed and accepted metadata schema in the TV consumer domain and another barely used but interesting egtaMETA from the commercial side for advertisements. NoTube is a European research project exploring the future of television in the ubiquitous internet than includes the BBC and IRT as well as a slew of university researchers from across Europe.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.