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THE AXES RESEARCH VIDEO SEARCH SYSTEM

Authors: 

Kevin McGuinness, Robin Aly, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Matthijs Douze, Max Kemman, Martijn Kleppe, Peggy van der Kreeft, Kay Macquarrie, Alexey Ozerov, Noel O'Connor, Franciska De Jong, Andrew Zisserman, Cordelia Schmid, Patrick Perez

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
We will demonstrate a multimedia content information re- trieval engine developed for audiovisual digital libraries tar- geted 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).
Conference Name: 
IEEE ICASSP - International Conference on Acoustics, Speech and Signal Processing
Proceedings: 
IEEE ICASSP - International Conference on Acoustics, Speech and Signal Processing
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
04/05/2014
Conference Location: 
Italy
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes