Experience based sampling technique for multimedia analysis

Abstract

We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis's task by making use of the contextual information from the environment. In this technique, sensor samples are used to gather information about the current environment and attention samples are used to represent the current state of attention. The task-attended samples are inferred from experience and maintained by a sampling based dynamical system. The multimedia analysis task can then focus on the attention samples only. Moreover, past experiences and the current environment can be used to adaptively correct and tune the attention. Experimental results have been presented to demonstrate the efficacy of our technique.