HEAL DSpace

Video content representation using optimal extraction of frames and scenes

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Doulamis Nikolaos, D en
dc.contributor.author Doulamis Anastasios, D en
dc.contributor.author Avrithis Yannis, S en
dc.contributor.author Kollias Stefanos, D en
dc.date.accessioned 2014-03-01T02:41:34Z
dc.date.available 2014-03-01T02:41:34Z
dc.date.issued 1998 en
dc.identifier.uri http://hdl.handle.net/123456789/30535
dc.subject Digital Video en
dc.subject Feature Vector en
dc.subject Indexation en
dc.subject Motion Segmentation en
dc.subject Optimal Method en
dc.subject.other Algorithms en
dc.subject.other Database systems en
dc.subject.other Feature extraction en
dc.subject.other Multimedia systems en
dc.subject.other Optimization en
dc.subject.other Color segmentation en
dc.subject.other Digital video database en
dc.subject.other Motion segmentation en
dc.subject.other Optimal extraction en
dc.subject.other Image segmentation en
dc.title Video content representation using optimal extraction of frames and scenes en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.1998.723660 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.1998.723660 en
heal.publicationDate 1998 en
heal.abstract In this paper, an efficient video content representation is proposed using optimal extraction of characteristic frames and scenes. This representation, apart from providing browsing capabilities to digital video databases, also allows more efficient content-based queries and indexing. For performing the frame/scene extraction, a feature vector formulation of the images is proposed based on color and motion segmentation. Then, the scene selection is accomplished by clustering similar scenes based on a distortion criterion. Frame selection is performed using an optimization method for locating a set of minimally correlated feature vectors. en
heal.publisher IEEE Comp Soc, Los Alamitos, CA, United States en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.1998.723660 en
dc.identifier.volume 1 en
dc.identifier.spage 875 en
dc.identifier.epage 879 en


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record