The goal of AXES is to develop tools that provide various types of user with new engaging ways to interact with audiovisual libraries, helping them discover, browse, navigate, search and enrich archives. In particular, apart from a search-oriented scheme, the project will explore how suggestions for audiovisual content exploration can be generated via a myriad of information trails crossing the archive. This will be approached from three perspectives (or axes): users, content, and technology.
Innovative indexing techniques will be developed in close cooperation with a number of user communities through tailored use cases and validation stages. Rather than just starting new investments in technical solutions, the co-development will investigate innovative paradigms of use and novel navigation and search facilities. Targeted users are media professionals, educators, students, amateur researchers and home users.
Based on an existing Open Source service platform for digital libraries, novel navigation and search functionalities will be offered via interfaces tuned to user profiles and workflow. For this purpose, AXES will develop tools for content analysis deploying weakly supervised classification methods.
Information in scripts, audio tracks, wikis or blogs will be used for the cross-modal detection of people, places, events, etc., and for link generation between audiovisual content. Users will be engaged in the annotation process: with the support of selection and feedback tools, they will enable the gradual improvement of tagging performance. AXES technology will open up audiovisual digital libraries, increasing their cultural value and their exposure to the European public and academia at large.
Partipants of the Axes kick-off meeting.
The consortium is a perfect match to the multi-disciplinary nature of the project, with professional content owners, academic and industrial experts in audiovisual analysis, retrieval, and user studies, and partners experienced in system integration and project management. The project comprises thirteen partners including the ERCIM members Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, INRIA, Katholieke Universiteit Leuven, and Dublin City University. The project started on 1 January 2011 and is managed by ERCIM.
AXES project coordinator, ERCIM Office
AXES scientific coordinator, KU Leuven, Belgium