Share Email Print
cover

Proceedings Paper

Gesture for video content navigation
Author(s): Gary Bradski; Boon-Lock Yeo; Minerva M. Yeung
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 17 December 1998
PDF: 13 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333843
Show Author Affiliations
Gary Bradski, Intel Corp. (United States)
Boon-Lock Yeo, Intel Corp. (United States)
Minerva M. Yeung, Intel Corp. (United States)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

© SPIE. Terms of Use
Back to Top