2026-09-19T07:38:49Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/615802022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hal Abelson and Carole Dulong.
Wright, Christina (Christina E.)
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-03-07T15:18:10Z
2011-03-07T15:18:10Z
2010
2010
http://hdl.handle.net/1721.1/61580
703286404
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 52).
Mobile 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.
by Christina Wright.
M.Eng.
52 p.
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Incorporating video into Google Mobile Street View
Incorporating video into Google MSV
Thesis
application/pdf
false
Publication
unknown
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<Abstract>Mobile 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.</Abstract>
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