Gesture for video content navigation

Gary Bradski; Boon-Lock Yeo; Minerva M. Yeung

doi:10.1117/12.333843

17 December 1998 Gesture for video content navigation

Gary Bradski, Boon-Lock Yeo, Minerva M. Yeung

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333843
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Gary Bradski, Boon-Lock Yeo, and Minerva M. Yeung "Gesture for video content navigation", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333843

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available