Object-based video: extraction tools, evaluation metrics and applications

Andrea Cavallaro; Touradj Ebrahimi

doi:10.1117/12.509853

23 June 2003 Object-based video: extraction tools, evaluation metrics, and applications

Andrea Cavallaro, Touradj Ebrahimi

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.509853
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

The representation of video information in terms of its content is at the foundation of many multimedia applications, such as broadcasting, content-based information retrieval, interactive video, remote surveillance and entertainment. In particular, object-based representation consists in decomposing the video content into a collection of meaningful objects. This approach offers a broad range of capabilities in terms of access, manipulation and interaction with the visual content. The basic difference when compared with pixel-based procedures is that instead of processing individual pixels, image objects are used in the representation. To exploit the benefits of object-based representation, multimedia applications need automatic techniques for extracting such objects from video data, a problem that still remains largely unsolved. In this paper, we first review the extraction techniques that enable the separation of foreground objects from the background. Their field of applicability and their limitations are discussed. Next, automatic tools for evaluating their performances are introduced. The major applications that benefit from an object-based approach are then analysed. Finally, we discuss some open research issues in object-based video.

Citation Download Citation

Andrea Cavallaro and Touradj Ebrahimi "Object-based video: extraction tools, evaluation metrics, and applications", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.509853

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