Share Email Print

Proceedings Paper

Real-time scene change detection assisted with camera 3A: auto exposure, auto white balance, and auto focus
Author(s): Liang Liang; Bob Hung; Ying Noyes; Ruben Velarde
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Many scene change detection techniques have been developed for scene cuts, fade in and fade out by analyzing video encoder input signals. For real time scene change detection, sensor input signals provide first-hand information which can be used for scene change detection. In this paper, by analyzing camcorder front end sensor input signals with our proposed algorithms based on camera 3A (auto exposure, auto white balance and auto focus), a novel scene change detection technique is described. Camera 3A based scene change detection algorithm can detect scene changes in a timely manner and therefore fits well for real time scene change detection applications. Experimental results show that this algorithm can detect scene changes with good accuracy. The proposed algorithm is computationally efficient and easy to implement.

Paper Details

Date Published: 2 February 2011
PDF: 10 pages
Proc. SPIE 7871, Real-Time Image and Video Processing 2011, 78710F (2 February 2011);
Show Author Affiliations
Liang Liang, Qualcomm Inc. (United States)
Bob Hung, Qualcomm Inc. (United States)
Ying Noyes, Qualcomm Inc. (United States)
Ruben Velarde, Qualcomm Inc. (United States)

Published in SPIE Proceedings Vol. 7871:
Real-Time Image and Video Processing 2011
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?