Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/252672
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dc.coverage.spatialComplexity Reduced Mode Decision for Scalable Video Coding in Smart Healthcare Application
dc.date.accessioned2019-08-05T04:36:07Z-
dc.date.available2019-08-05T04:36:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/252672-
dc.description.abstractApplications including multimedia through digital broadcast are newlineprogressively more significant for different types of gadgets such as Personal Data newlineAssistants PDAs Mobile Laptop etc With the variable nature of real time newlinevideo and the limitations in bandwidth arises the need for scalability in video newlinecoding H264 Advanced Video Coding AVC is extended to Scalable Video newlineCoding SVC to achieve scalability in different kinds of applications SVC can newlineoperate on different types of electronic gadgets with its scalable feature The newlinescalable content is delivered to user gadget based on the scalable demands of the newlineuser SVC offers improved degrees of scalability and shown essential superior newlinecoding efficiency related to the past video coding standard profiles of scalability newlineThough superior performance in coding is achieved at the cost of computational newlinecomplexity So the computational complexity is the limiting factor of the SVC newlineencoder for its application If every application widely adopts SVC then SVC newlineencoder must adopt an algorithm to reduce the computational complexity newlineavoiding any significant loss in compression and the coding efficiency are newlineextremely enviable newline newline
dc.format.extentxxiv, 158p.
dc.languageEnglish
dc.relationp.146-157
dc.rightsuniversity
dc.titleComplexity reduced mode decision for Scalable video coding in smart Healthcare application
dc.title.alternative
dc.creator.researcherBalaji L
dc.subject.keywordComplexity Reduced Mode
dc.subject.keywordEngineering and Technology,Computer Science,Imaging Science and Photographic Technology
dc.subject.keywordSmart Healthcare Application
dc.subject.keywordVideo Coding
dc.description.note
dc.contributor.guideThyagharajan K K
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registeredn.d.
dc.date.completed2018
dc.date.awarded30/06/2018
dc.format.dimensions21 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File494.02 kBAdobe PDFView/Open
02_certificate.pdf1.15 MBAdobe PDFView/Open
03_abstract.pdf406.26 kBAdobe PDFView/Open
04_acknowledgment.pdf397.28 kBAdobe PDFView/Open
05_contents.pdf561.45 kBAdobe PDFView/Open
06_chapter1.pdf872.76 kBAdobe PDFView/Open
07_chapter2.pdf1.1 MBAdobe PDFView/Open
08_chapter3.pdf1.67 MBAdobe PDFView/Open
09_chapter4.pdf1.55 MBAdobe PDFView/Open
10_chapter5.pdf1.46 MBAdobe PDFView/Open
11_conclusion.pdf481.14 kBAdobe PDFView/Open
12_references.pdf518.75 kBAdobe PDFView/Open
13_publications.pdf470.85 kBAdobe PDFView/Open


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