Development of efficient algorithmic models for content based video retrieval

dc.contributor.guideAnbu Karuppusamy S
dc.coverage.spatialDevelopment of efficient algorithmic models for content based video retrieval
dc.creator.researcherVasu Namala
dc.date.accessioned2024-09-26T12:35:58Z
dc.date.available2024-09-26T12:35:58Z
dc.date.awarded2024
dc.date.completed2024
dc.date.registered
dc.description.abstractTo find useful information from the huge amount of raw data that is newlinetypically present in databases, data mining tasks try to develop knowledge newlinethat matches the data. A multimedia database is a group of stored, closely newlinerelated multimedia elements that must be effectively managed. In order to newlinedetermine the relationships between the various forms of data, the multimedia newlinemining method examines the various information media. newlineVideos are the most important media in multimedia data, including newlineaudio, image, graphic, and text media. The methods of collecting, recording, newlineand processing the images captured at a certain moment are all part of the newlinetechnology underpinning videography (still images). One of the most difficult newlineresearch problems is video data mining, which attempts to automatically newlineidentify recurrent video patterns from a vast video archive. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions21cm.
dc.format.extentxviii,123p.
dc.identifier.urihttp://hdl.handle.net/10603/591883
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.113-122.
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.titleDevelopment of efficient algorithmic models for content based video retrieval
dc.title.alternative
dc.type.degreePh.D.

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