Show simple item record

dc.contributor.advisorOnural, Leventen_US
dc.contributor.authorEkmekçi, Tolgaen_US
dc.date.accessioned2016-01-08T20:15:25Z
dc.date.available2016-01-08T20:15:25Z
dc.date.issued1998
dc.identifier.urihttp://hdl.handle.net/11693/18013
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent Univ., 1998.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1998.en_US
dc.descriptionIncludes bibliographical references leaves 67-74.en_US
dc.description.abstractRecently, trends in video processing research have shifted from video compression to video analysis, due to the emerging standards MPEG-4 and MPEG-7. These standards will enable the users to interact with the objects in the audiovisual scene generated at the user’s end. However, neither of them prescribes how to obtain the objects. Many methods have been proposed for segmentation of video objects. One of the approaches is the “Analysis Model” (AM) of European COST-211 project. It is a modular approach to video object segmentation problem. Although AM performs acceptably in some cases, the results in many other cases are not good enough to be considered as semantic objects. In this thesis, a new tool is integrated and some modules are replaced by improved versions. One of the tools uses a block-based motion estimation technique to analyze the motion content within a scene, computes a motion activity parameter, and skips frames accordingly. Also introduced is a powerful motion estimation method which uses maximum a posteriori probability (MAP) criterion and Gibbs energies to obtain more reliable motion vectors and to calculate temporally unpredictable areas. To handle more complex motion in the scene, the 2-D affine motion model is added to the motion segmentation module, which employs only the translational model. The observed results indicate that the AM performance is improved substantially. The objects in the scene and their boundaries are detected more accurately, compared to the previous results.en_US
dc.description.statementofresponsibilityEkmekçi, Tolgaen_US
dc.format.extentx, 74 leaves, illustrationsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVideo processingen_US
dc.subjectVideo object segmentationen_US
dc.subjectData fusionen_US
dc.subjectObject trackingen_US
dc.subjectİnteractive multimediaen_US
dc.subjectMPEG-4en_US
dc.subjectContent-based searchen_US
dc.subjectMPEG-7en_US
dc.subject.lccTK6680.5 .E56 1998en_US
dc.subject.lcshDigital video.en_US
dc.subject.lcshImage processing.en_US
dc.titleVideo object segmentation for interactive multimediaen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record