A Survey Report on Robust Video Object Cosegmentation
Volume: 6 - Issue: 05 - Date: 01-05-2017
Approved ISSN: 2278-1412
Published Id: IJAECESTU307 | Page No.: 535-538
Author: Sachin Choudhary
Co- Author: Anurag Jain
Abstract:-Video information provides a rich supply of data that's offered to United States
nowadays in large quantities e.g. from on-line resources. During this paper present a
cosegmentation framework to find and segment out common object regions across multiple frames
and multiple videos during a joint fashion. In this paper incorporate 3 kinds of cues, i.e.,
intraframe salience, interframe consistency, and across-video similarity into an energy
optimization framework that doesn't create restrictive assumptions on foreground appearance and
motion model, and doesn't need objects to be visible altogether frames. During this paper present
a video co-segmentation technique that uses category-independent object proposals as its basic
component and may extract multiple foreground objects during a video set.
Key Words:-Video object co-segmentation, energy optimization, object refinement, spatio-temporal scale invariant feature transform (SIFT) flow.
Area:-Engineering
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