Comparison of video shot boundary detection techniques

John S. Boreczky; Lawrence A. Rowe

doi:10.1117/12.238675

1 April 1996 Comparison of video shot boundary detection techniques

John S. Boreczky, Lawrence A. Rowe

Author Affiliations +

Journal of Electronic Imaging, Vol. 5, Issue 2, (April 1996). https://doi.org/10.1117/12.238675

Abstract

Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Few published studies compare available algorithms, and those that do have looked at limited range of test material. This paper presents a comparison of several shot boundary detection and classification techniques and their variations including histograms, discrete cosine transform, motion vector, and block matching methods. The performance and ease of selecting good thresholds for these algorithms are evaluated based on a wide variety of video sequences with a good mix of transition types. Threshold selection requires a trade-off between recall and precision that must be guided by the target application.

Citation Download Citation

John S. Boreczky and Lawrence A. Rowe "Comparison of video shot boundary detection techniques," Journal of Electronic Imaging 5(2), (1 April 1996). https://doi.org/10.1117/12.238675

Published: 1 April 1996

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