Visual Active Memory Application |
Understanding and Annotating TennisThe research sets out to explore how an active memory system, operating at several different semantic levels, might lead to a degree of machine understanding when applied to specific scenarios. At present the system (see below) will automatically analyse a tennis video to the extent that it can identify the outcome of each tennis serve and point played, with reasonable accuracy (84% at 22/7/2005). The system is in two parts: a short-term and a long-term memory. The short-term memory analyses the video in a bottom-up fashion, making available relevant results to the long-term memory, and "forgetting" the rest. The long-term memory stores only the information that might be useful in the long term, and provides a graphical interface for browsing this information in a top-down fashion.
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