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Computer Aided Semantic Annotation of Multimedia

Effective storage and retrieval of digitised video for reuse in industries such as news broadcasters is a difficult and costly process. It relies on good quality semantic annotation which is notoriously difficult to produce for video content. The CASAM project developed a new approach to supporting annotation of video content by combining the strengths of human annotated with the speed and efficiency of autonomous video analysis. The resulting system is able to support annotation of video with increased quality and quantity of annotation whilst reducing time and cost.

References to the research

R. J. Hendley, R. Beale, C. P. Bowers, C. Georgousopoulos, C. Vassiliou, P. Sergios, R. Moeller, E. Karstens, and D. Spiliotopoulos. CASAM: collaborative human-machine annotation of multimedia. Multimedia Tools and Applications, pages 132, 2013

C. P. Bowers, R. Beale, W. Byrne, C. Creed, C. Pinder, and R. Hendley. Interaction issues in computer aided semantic annotation of multimedia. In proceedings of the 7th Nordic Conference on Human- Computer Interaction: Making Sense Through Design, NordiCHI 12, pages 534543, New York, NY, USA, 2012. ACM.

C. P. Bowers, W. Byrne, B. R. Cowan, C. Creed, R. J. Hendley, and R. Beale. Choosing your moment: Interruptions in multimedia annotation. In proceedings of Human-Computer Interaction INTERACT 2011, volume 6947 of Lecture Notes in Computer Science, pages 438453. Springer, 2011

C. Creed, C. P. Bowers, R. J. Hendley, and R. Beale. User perception of interruptions in multimedia annotation tasks. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries, NordiCHI 10, pages 619622, New York, NY, USA, 2010. ACM