Extraction of composite visual objects from audiovisual materials

Gwenael Durand; Cedric Thienot; Pascal Faudemay

doi:10.1117/12.360423

24 August 1999 Extraction of composite visual objects from audiovisual materials

Gwenael Durand, Cedric Thienot, Pascal Faudemay

Proceedings Volume 3846, Multimedia Storage and Archiving Systems IV; (1999) https://doi.org/10.1117/12.360423
Event: Photonics East '99, 1999, Boston, MA, United States

Abstract

An effective analysis of Visual Objects appearing in still images and video frames is required in order to offer fine grain access to multimedia and audiovisual contents. In previous papers, we showed how our method for segmenting still images into visual objects could improve content-based image retrieval and video analysis methods. Visual Objects are used in particular for extracting semantic knowledge about the contents. However, low-level segmentation methods for still images are not likely to extract a complex object as a whole but instead as a set of several sub-objects. For example, a person would be segmented into three visual objects: a face, hair, and a body. In this paper, we introduce the concept of Composite Visual Object. Such an object is hierarchically composed of sub-objects called Component Objects.

Citation Download Citation

Gwenael Durand, Cedric Thienot, and Pascal Faudemay "Extraction of composite visual objects from audiovisual materials", Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); https://doi.org/10.1117/12.360423

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