Video segmentation using 3D hints contained in 2D images

Mohsen Ardebilian Fard; Xiaowei Tu; Liming Chen; Pascal Faudemay

doi:10.1117/12.257293

1 November 1996 Video segmentation using 3D hints contained in 2D images

Mohsen Ardebilian Fard, Xiaowei Tu, Liming Chen, Pascal Faudemay

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257293
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

Int his paper, we present a new method for video sequence segmentation which can be used in video indexation applications. Our approach uses the image content as indices of segmentation. As for most video sequences, the images contain 3D hints. In order to detect these indices efficiently, we develop a two step Hough transformation (HT). The first HT tries to find all lines contained in video image. The second one according to the theory of projective geometry, gives the possible focus of expansion (FOE) point. Once we have all possible FOE positions, simple comparison of these positions tells the difference of video sequences. This method is robust not only for the images taken from well structured objects in the scene as buildings, roads and other man made entities, but also for the scene containing the flower field or other aligned natural objects. The results of the approach are shown at final part of the paper.

Citation Download Citation

Mohsen Ardebilian Fard, Xiaowei Tu, Liming Chen, and Pascal Faudemay "Video segmentation using 3D hints contained in 2D images", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); https://doi.org/10.1117/12.257293

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