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Details of Grant 

EPSRC Reference: EP/D030455/1
Title: A demonstration of segmentation for Movie Digital Special Effects
Principal Investigator: Grant, Professor Emertius P
Other Investigators:
Hannah, Dr JM
Researcher Co-Investigators:
Project Partners:
Department: Digital Communications
Organisation: University of Edinburgh
Scheme: Standard Research (Pre-FEC)
Starts: 01 July 2005 Ends: 30 June 2006 Value (£): 20,645
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Electronics
Related Grants:
Panel History:  
Summary on Grant Application Form
Special effects are heavily used in advertising as well as film and television and are increasingly important in multimedia production. Such techniques often require the segmentation of image sequences into foreground and background. These may then be processed separately and recombined, perhaps with additional elements in the scene. A very common example of this is in a television weather forecast, where the presenter appears to be standing in front of a map but is actually filmed against a blue background and the map image is added electronically.We have previously researched semi-automated approaches which are capable of segmenting actors from natural backgrounds. These techniques are based on colour differences. In this project we will develop interactive demonstrations of our techniques for image segmentation, including our advanced signal processing based segmentation techniques. These demonstrations will be:An Interactive DVD using pre-recorded video and allowing the patticipants to choose the input video and the effect they wish to see applied to the video after segmentation.A live demonstration which captures short video sequences, processes them using a variety of techniques whilst showing visualisations of the processing, and then demonstrates simple special effects which use the processed video.The emphasis in both cases will be to give an insight into some of the advanced signal processing aspects involved in our techniques. We will produce different version to target audiences with different levels of technical knowledge. This type of interactive exhibit should illustrate an accessible application of signal processing research to a wide range of potential audiences.
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