| dc.contributor.author | KOKARAM, ANIL | en |
| dc.contributor.author | RING, DANIEL | en |
| dc.date.accessioned | 2010-04-30T10:29:41Z | |
| dc.date.available | 2010-04-30T10:29:41Z | |
| dc.date.created | September | en |
| dc.date.issued | 2009 | en |
| dc.date.submitted | 2009 | en |
| dc.identifier.citation | D. Ring, A. Kokaram, Feature-Cut: Video Object Segmentation Through Local Feature Correspondences., Proc. of ICCV International Workshop on Video-oriented Object and Event Classification (VOEC), ICCV International Workshop on Video-oriented Object and Event Classification (VOEC), Kyoto, Japan, September, IEEE Computer Society, 2009 | en |
| dc.identifier.other | Y | en |
| dc.identifier.uri | http://hdl.handle.net/2262/39335 | |
| dc.description | PUBLISHED | en |
| dc.description | Kyoto, Japan | en |
| dc.description.abstract | Accurately segmenting objects in video is a difficult and
time consuming process in modern post-production houses.
Automatic systems may work for a small number of frames,
but will typically fail over longer video shots. This work
proposes a semi-automatic, feature-based system to perform
object segmentation over longer sequences. The user
manually extracts masks from representative instances of
the object, which are then propagated to the remaining unsegmented
frames and used to bootstrap the automatic segmentation
for these frames. The presented work dramatically
reduces the manual workload required to segment a
video sequence, allowing longer and more accurate object
mattes. | en |
| dc.description.sponsorship | The authors would like to acknowledge and thank the
After Effects and DMRG groups at Adobe Systems. This
work was funded by the Irish Research Council for Science,
Engineering and Technology (IRCSET) Embark Initiative,
the i3DPost project under the EU Framework 7 ICT programme,
and Adobe Systems. | en |
| dc.language.iso | en | en |
| dc.publisher | IEEE Computer Society | en |
| dc.rights | Y | en |
| dc.subject | Engineering | |
| dc.title | Feature-Cut: Video Object Segmentation Through Local Feature Correspondences. | en |
| dc.title.alternative | Proc. of ICCV International Workshop on Video-oriented Object and Event Classification (VOEC) | en |
| dc.title.alternative | ICCV International Workshop on Video-oriented Object and Event Classification (VOEC) | en |
| dc.type | Conference Paper | en |
| dc.contributor.sponsor | Irish Research Council for Science and Engineering Technology (IRCSET) | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.peoplefinderurl | http://people.tcd.ie/akokaram | en |
| dc.identifier.rssinternalid | 63735 | en |
| dc.identifier.rssuri | http://www.mee.tcd.ie/~sigmedia/pmwiki/uploads/Main.Publications/ringdk09b.pdf | en |
