Paper Session: AI is here and the machines are hungry to learn!
“You’ll like this film, with its period art deco setting and increasing sense of tension…” Machine learning is increasingly being used to create meaningful metadata from large content portfolios. In this session you will hear how AI is being used to interpret big databases and the uses to which the results are being put. We shall also gain insight into the underlying IT infrastructures deployed within large media businesses to extract and exploit this valuable resource for strategic purposes.
Papers in order of presentation:
Marcelo Souza, Digital Media Technology Director, TV Globo, Brazil, "BIG DATA FOR DATA JOURNALISM, ENHANCED BUSINESS ANALYTICS AND VIDEO RECOMMENDATION AT GLOBO"
Pam Fisher, Executive Director, The Media Institute, United Kingdom, "MOVING IMAGE DEMOGRAPHICS: DATA MINING TO SECURE VALUE"
Maurizio Montagnuolo, Senior Research Engineer, RAI Radiotelevisione Italiana, Italy, "REAL-TIME SEMANTIC ENRICHMENT OF VIDEO STREAMS IN THE AGE OF BIG DATA"
Kiyoshi Kurihara, Research Engineer, NHK (Japan Broadcasting Corporation), Japan, "AUTOMATIC GENERATION OF AUDIO DESCRIPTIONS FOR SPORTS PROGRAMS"
Anna Maraga, Chief Scientific Officer Metaliquid, Italy, "USING DEEP LEARNING TECHNOLOGIES TO PROVIDE DESCRIPTIVE METADATA FOR LIVE VIDEO CONTENTS"