Galasso, F and Cipolla, R and Schiele, B (2013) Video segmentation with superpixels. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7724 L. pp. 760-774. ISSN 0302-9743Full text not available from this repository.
Due to its importance, video segmentation has regained interest recently. However, there is no common agreement about the necessary ingredients for best performance. This work contributes a thorough analysis of various within- and between-frame affinities suitable for video segmentation. Our results show that a frame-based superpixel segmentation combined with a few motion and appearance-based affinities are sufficient to obtain good video segmentation performance. A second contribution of the paper is the extension of  to include motion-cues, which makes the algorithm globally aware of motion, thus improving its performance for video sequences. Finally, we contribute an extension of an established image segmentation benchmark  to videos, allowing coarse-to-fine video segmentations and multiple human annotations. Our results are tested on BMDS , and compared to existing methods. © 2013 Springer-Verlag.
|Divisions:||Div F > Machine Intelligence|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:39|
|Last Modified:||25 Feb 2017 01:05|