McGuinness, KevinORCID: 0000-0003-1336-6477, Aly, Robin, Chatfield, Ken, Parkhi, Omkar M., Arandjelovic, Relja, Douze, Matthijs, Kemman, Max, Kleppe, Martijn, van der Kreeft, Peggy, Macquarrie, Kay, Ozerov, Alexey, O'Connor, Noel E.ORCID: 0000-0002-4033-9135, de Jong, Franciska, Zisserman, Andrew, Schmid, Cordelia and Perez, Patrick
(2014)
The AXES research video search system.
In: IEEE ICASSP - International Conference on Acoustics, Speech and Signal Processing, 4-9 May 2014, Florence, Italy.
We will demonstrate a multimedia content information retrieval engine developed for audiovisual digital libraries targeted at academic researchers and journalists. It is the second of three multimedia IR systems being developed by the AXES project1. The system brings together traditional text IR and state-of-the-art content indexing and retrieval technologies to allow users to search and browse digital libraries in novel ways. Key features include: metadata and ASR search and filtering, on-the-fly visual concept classification (categories, faces, places, and logos), and similarity search (instances and faces).