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dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Nikolaos-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorAvrithis, Yannis-
dc.contributor.authorKollias, Stefanos-
dc.date.accessioned2024-10-09T07:40:05Z-
dc.date.available2024-10-09T07:40:05Z-
dc.date.issued1999-09-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:IUKN3-7HHlwC-
dc.identifier.othervd7COBsAAAAJ:IUKN3-7HHlwC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2792-
dc.description.abstractIn this paper an optimal framework for summarization of stereoscopic video sequences is presented, which extracts a meaningful set of video frames. Each sequence is first partitioned into shots, the disparity field, occluded areas and depth map are estimated and then a hierarchical color and depth segmentation scheme is applied to each shot, based on a multiresolution implementation of the RSST algorithm. Color and depth segment fusion is employed for achieving high-quality semantic segmentation, and feature vectors are constructed using a fuzzy classification formulation. For a given shot, key frames are extracted using an optimization method, namely, a genetic algorithm, for locating frames of minimally correlated feature vectors. Experimental results indicate the reliable performance of the proposed scheme.en_US
dc.language.isoenen_US
dc.sourceProceedings of International Workshop on Synthetic-Natural Hybrid Coding and …, 1999-
dc.titleAn optimal framework for summarization of stereoscopic video sequencesen_US
dc.typeConference Paperen_US
dc.relation.conferenceInternational Workshop on Synthetic-Natural Hybrid Coding and Three Dimensional Imaging (IWSNHC3DI’99), 15-17 September 1999, Santorini, Greeceen_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.linkhttp://image.ntua.gr/papers/49.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια
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