Efficient utilization of videos of lectures and presentations requires indexing based on extracted background which includes slides and / or handwritten notes. Since the background in such videos is constantly evolving there is a need for special techniques for background recovery. The objective of this paper is a method for automatically extracting the evolving background in such videos. In contrast to general background subtraction techniques which aim at extracting foreground objects, the goal here is to extract the background and complete it where the foreground is removed. Experimental results comparing the proposed approach to other known techniques demonstrate improved performance when using the proposed approach.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.