An Efficient Visual Search Engine for Cultural Broadcast Archives

Emanuele Caimotti, Maurizio Montagnuolo, Alberto Messina
2017 International Conference of the Italian Association for Artificial Intelligence  
In todays digital age, the ability to access, analyze and (re) use large amounts of data is a strategic asset of fundamental importance for the broadcast and media industry. The challenge lies in the ability to search, organize and access multimedia assets in a fast and semantically relevant way. Visual search is the new frontier to achieve these objectives, by allowing users to match image and video contents depicting the same objects, such as buildings, paintings and logos, based on visual
more » ... ilarities and without the need of querying for manually generated metadata. This paper presents the implementation of a Content Retrieval Architecture (CRA) for visual content analysis and search. Experimental results to demonstrate the feasibility of the proposed architecture on cultural TV programme archives are discussed as well.
dblp:conf/aiia/CaimottiMM17 fatcat:p3qxp6kpy5eslpwyx6i3cuvtmu