Our recent effort includes pioneering a new research approach in media analysis called the Computational Media Aesthetics to address the problem of semantic gap in automatic content annotation systems. Computational media aesthetics is defined as the algorithmic study of a variety of image and aural elements in media, founded on their patterns of use in film grammar, and the computational analysis of the principles that have emerged underlying their manipulation, individually or jointly, in the creative art of clarifying, intensifying, and interpreting some event for the audience.
This media production-guided semantic analysis approach has been well received and followed in the research community. See Honors for the latest awards and recognition for this work. This is joint work with Prof. Svetha Venkatesh and our graduate students.
Last modified: Wed Dec 13 15:56:11 2000