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dc.contributor.advisorHal Abelson and Carole Dulong.en_US
dc.contributor.authorWright, Christina (Christina E.)en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2011-03-07T15:18:10Z
dc.date.available2011-03-07T15:18:10Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61580
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 52).en_US
dc.description.abstractMobile Street View is a compelling application but suffers from significant latency problems, especially in limited bandwidth circumstances. Currently, the application uses static images to display street level information. Utilizing video in addition to images has the potential to improve the Street View user experience. In this paper, we examine the design and performance of mobile Street View and consider how to use video to reduce user visible latency. Video also allows for alternate navigation methods which could improve the application's ease of use. We created a prototype on Android to examine the plausibility of incorporating video into mobile Street View. Comparing the performance of our video prototype to the traditional step-by-step Street View approach, we found a 4x increase in the speed of viewing an entire street. For the video prototype I also found significant improvement in both user visible latencies and useful screen time. Additionally, I found that the time to fetch video chunks was less than the time to display them.en_US
dc.description.statementofresponsibilityby Christina Wright.en_US
dc.format.extent52 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleIncorporating video into Google Mobile Street Viewen_US
dc.title.alternativeIncorporating video into Google MSVen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc703286404en_US


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