Gesture for video content navigation

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Abstract
This article describes the use of gesture recognition techniques in computer vision, as a natural interface for video content navigation, and the design of a navigation and browsing system, which caters to these natural means of computer-human interaction. For consumer applications, video content navigation presents two challenges: (1) how to parse and summarize multiple video streams in an intuitive and efficient manner, and (2) what type of interface will enhance the ease of use for video browsing, and navigation in a living room setting or an interactive environment. In this paper, we address the issues, and propose the techniques which combine video content navigation with gestures, seamlessly and intuitively, into an integrated system. The current framework can incorporate speech recognition technology. We present a new type of browser for navigating and browsing video content, as well as a gesture- recognition interface for this browser.

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