- Permanent Link:
- Source identification of high definition videos a forensic analysis of downloaders and YouTube video compression using a group of action cameras
- Giammarrusco, Zachary Paul ( author )
- Physical Description:
- 1 electronic file (62 pages). : ;
- Subjects / Keywords:
- Video recordings ( lcsh )
Source separation (Signal processing) ( lcsh )
Signal processing -- Digital techniques ( lcsh )
- bibliography ( marcgt )
theses ( marcgt )
non-fiction ( marcgt )
- Video cameras are a large part of today's mainstream society, where many people feel the need to record and share their life's experiences. YouTube, created in 2007, has become the most popular host of Internet videos from around the world with an estimated 1 billion unique monthly users (Youtube.com). YouTube is localized in 61 countries and across 61 languages. Over 100 hours of video are uploaded every minute. These videos can contain important information about a crime, or event, that might have occurred. For example, in September of 2014, the terrorist group called ISIS released a set of videos on YouTube that portrayed the beheadings of American and British citizens. These videos were called into question, and their authenticity needed to be determined. It is the job of the forensic investigator to determine if a particular video, in question, is a complete and accurate representation of what it purports to be. This research paper will address the effects of YouTube on source camera identification while seeking to quantify the amount of change that can occur during the conversion process. It is well understood that YouTube re-encodes all video uploaded to the site, which has several implications for forensic authentication analysis . The testing material described in this paper was comprised of 11 different cameras and three different downloader tools. Chapter 1 describes a variety of established image authentication techniques used to determine the origin of a video. Chapter 2 describes the underlying framework of YouTube, how it works, and the effects it can have on video. Chapter 3 describes and compares three tools that can be used for downloading YouTube videos. Chapter 4 describes how the test data was acquired. Chapter 5 addresses structure and source identification techniques using the test results. Chapter 6 describes all conclusions reached during analysis. Chapter 7 ends with future research in the field.
- Thesis (M.S.)--University of Colorado Denver.
- Includes bibliographic references.
- System Details:
- System requirements: Adobe Reader.
- General Note:
- College of Arts and Media
- Statement of Responsibility:
- by Zachary Paul Giammarrusco.
- Source Institution:
- University of Colorado Denver
- Rights Management:
- All applicable rights reserved by the source institution and holding location.
- Resource Identifier:
- 904250089 ( OCLC )