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Semantic multimedia analysis for content-adaptive video streaming

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dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuprofileFaculty Member
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid26207
dc.date.accessioned2024-11-09T23:18:34Z
dc.date.issued2006
dc.description.abstractThis paper provides a survey of recent approaches for semantic content analysis using multiple modalities, such as video, audio, and on- screen text. It also introduces new methods for shot (GoP) level rate allocation for content-adaptive multimedia streaming in order to achieve the best user utility given relevance-distortion policy and available average channel bandwidth of a user. Some examples are provided.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.identifier.doiN/A
dc.identifier.isbn978-0-7803-9389-9
dc.identifier.issn0271-4302
dc.identifier.scopus2-s2.0-34547253205
dc.identifier.urihttps://hdl.handle.net/20.500.14288/10403
dc.identifier.wos245413502129
dc.keywordsRetrieval
dc.keywordsImages
dc.keywordsMotion
dc.keywordsAudio
dc.languageEnglish
dc.publisherIEEE
dc.source2006 IEEE International Symposium On Circuits And Systems, Vols 1-11, Proceedings
dc.subjectComputer science
dc.subjectComputer architecture
dc.subjectElectrical electronics engineering
dc.titleSemantic multimedia analysis for content-adaptive video streaming
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0003-1465-8121
local.contributor.kuauthorTekalp, Ahmet Murat
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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