國立虎尾科技大學 |

YouTube : = Recompression Effects.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	YouTube :/
Reminder of title:	Recompression Effects.
Author:	Whitecotton, Cole Michael.
Description:	1 online resource (37 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355511680

YouTube : = Recompression Effects.
Whitecotton, Cole Michael.

YouTube :Recompression Effects. - 1 online resource (37 pages)

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)

Includes bibliographical references

YouTube, founded in 2005, is the leading digital video streaming site on today's internet. There are many streaming sites today that allow users to upload and share multimedia content, but YouTube is the only one with some estimated one-billion unique monthly users. Many of these user-created videos can contain important information that may pertain to a crime or other event of interest. Prior to uploading, digital video files can be encoded with embedded data that can be important to forensic analysts. This data is unfortunately stripped by YouTube's encoding algorithms for every video that is uploaded, which is concordant with YouTube's neither being a file-sharing website nor allowing for the easy download of video content from its site. This, along with lossy compression, makes analysis of YouTube videos difficult.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355511680Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

YouTube : = Recompression Effects.
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500 $a Source: Masters Abstracts International, Volume: 57-01.
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504 $a Includes bibliographical references
520 $a YouTube, founded in 2005, is the leading digital video streaming site on today's internet. There are many streaming sites today that allow users to upload and share multimedia content, but YouTube is the only one with some estimated one-billion unique monthly users. Many of these user-created videos can contain important information that may pertain to a crime or other event of interest. Prior to uploading, digital video files can be encoded with embedded data that can be important to forensic analysts. This data is unfortunately stripped by YouTube's encoding algorithms for every video that is uploaded, which is concordant with YouTube's neither being a file-sharing website nor allowing for the easy download of video content from its site. This, along with lossy compression, makes analysis of YouTube videos difficult.
520 $a This research aims to take a deeper look at what information, if any, can be gleaned from video files that are downloaded from YouTube using third-party options. Across five different tests, videos were created and uploaded to YouTube and the videos were downloaded using downloader programs. These files were then altered, compared, and analyzed in order to better understand the behavior of YouTube and the downloader tools.
520 $a Chapter 1 provides a quick primer to digital files and information that can be contained therein. Chapter 2 describes some of the underlying frameworks and background information about YouTube. Chapter 3 details each of the five tests, including information, methods and materials, and results. Finally, Chapter 4 recaps each of the tests' results and some more general findings along with providing some points for potential future research.
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