Paper Info
Title
An object based motion method for video coding
Abstract
In order to improve efficienc y of video coding, tempo- ral redundancy between neighboring frames can be reduced. In MPEG-2, some frames, named interframes, are predicted using a motion estimation based on the conservation of the intensity over time. In the new standard MPEG-4, frames are separated into several objects that are transmitted sep- arately. Therefore, the prediction has to be performed on objects instead of frames. So, interframe-objects have to be predicted in order to improve video coding efficienc y. The goal of this paper is to propose a new method for object-based prediction using the level sets. First, we propose an efficient object-based motion esti- mation. The motion of the objects is estimated by assuming the conservation of the level sets function over time, instead of the conservation of the intensity. Secondly, the estimation of the object motion between two frames is used to predict interframe-objects using both forward and backward motion estimations. The method is evaluated on real sequences, illustrating the potential of our approach for an object-based prediction of interframes.
Year
DOI
Venue
2001
10.1109/ICIP.2001.958161
ICIP (3)
Keywords
Field
DocType
level set,image segmentation,pixel,motion compensation,motion estimation,mpeg 4,set theory,scalability
Reference frame,Computer vision,Algorithmic efficiency,Block-matching algorithm,Quarter-pixel motion,Pattern recognition,Computer science,Motion compensation,Image segmentation,Artificial intelligence,Motion estimation,MPEG-4
Conference
Citations 
PageRank 
References 
2
0.40
5
Authors
3
Name
Order
Citations
PageRank
Stéphanie Jehan-Besson127718.54
Michel Barlaud22317310.53
Gilles Aubert31275108.17