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pharos project full details

Champion: Stefan Rueger
Emeritus Professor Email Icon RDF Icon

Participant(s):Stefan Rueger, Suzanne Little, Serge Zagorac

Timeline:01 Jan 2007 - 31 Dec 2009

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PHAROS

Platform for searcH of Audiovisual Resources across Online Spaces

The PHAROS mission is to advance audiovisual search from a point-solution search engine paradigm to an integrated search platform paradigm. This platform will be built on an innovative, open, and distributed architecture that enables consumers, businesses and organisations to unlock the values found in audiovisual content.

The PHAROS search platform will create a new infrastructure for managing and enabling access to information sources of all types, supporting advanced audiovisual processing, content handling, and management that will enhance control, creation, and sharing of multimedia for all users in the value chain. The impact for the specific audiovisual industry will be to strengthen and extend product and service offerings, integrating oustanding technologies and achieving a competitive advantage by integrating solutions addressing the full content management processing chain.

Publications

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Llorente, A., Motta, E. and Rueger, S. (2010) Exploring the Semantics Behind a Collection to Improve Automated Image Annotation, Proceedings of the 10th Workshop of the Cross-Language Evaluation Forum (CLEF 2009), LCNS 6242, Part II, Springer

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Llorente, A., Manmatha, R. and Rueger, S. (2010) Image Retrieval using Markov Random Fields and Global Image Features, Proceedings of the ACM International Conference on Image and Video Retrieval, Xi'an, China, pp. 243-250

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Nowak, S., Llorente, A., Motta, E. and Rueger, S. (2010) The Effect of Semantic Relatedness Measures on Multi-label Classification Evaluation, Proceedings of the ACM International Conference on Image and Video Retrieval, Xi'an, China, pp. 303-310

Publications | Download PDF Publications | Visit External Site for Details  

Llorente, A., Motta, E. and Rueger, S. (2009) Image Annotation Refinement using Web-based Keyword Correlation, Proceedings of the 4th International Conference on Semantic and Digital Media Technologies, Graz, Austria, 5887, pp. 188--191

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Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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