PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Auto-classifying Salient Content in Video
Alistair Morrison, Paul Tennant, John Williamson and Matthew Chalmers
In: Computer Assisted Recording, Pre-Processing, and Analysis of User Interaction Data at British HCI, London, UK(2006).


In this position paper we present a procedure with which large volumes of video data can be automatically processed to extract only that which is salient given the current context of analysis. This technique is presented as an extension to Replayer: a software toolkit for use in the development cycle of mobile applications. By augmenting the cameras used to capture a mobile experiment we are able to establish both a location and heading for each camera, and thus generate a field of vision. Locations of each trial participant are also recorded and compared against camera visual fields to determine which periods of user activity have been recorded. A report of initial testing is given, whereby the technique's use is demonstrated on a trivial application.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:2498
Deposited By:John Williamson
Deposited On:22 November 2006