Thesis
Youtrace: a smartphone system for tracking video modifications
Washington State University
Master of Science (MS), Washington State University
2015
Handle:
https://hdl.handle.net/2376/103628
Abstract
As smartphone cameras and processors get better and faster, content creators increasingly use them for both recording and editing of videos. On hosting sites, the lack of information about how an upload relates to the original recording complicates the question of whether to trust the content, especially for citizen journalism programs like CNN's iReport. This thesis introduces YouTrace, a system consisting of a trusted Android client (IntegriDroid) that tracks modifications made to videos recorded on the smartphone, and a hosting server that maintains lineage trees for near-duplicate videos from both trusted and untrusted sources. YouTrace analyzes videos in a non-blind fashion, with the core algorithm, called videodiff, comparing a parent and child video, and then reporting the transformations used to produce the child through a structure called a delta-report. The comparison algorithm and the report structure are capable of detecting and recording the type and degree of temporal modifications to clips, such as scaling (stretching/shrinking duration) and trimming, as well as spatial modifications to frames, such as scaling, cropping, bordering, color adjustment, and content tampering. We implement the IntegriDroid client prototype on a Galaxy Nexus by building on TaintDroid's file tracking and porting an emulated Trusted Platform Module onto Android 4.3. Evaluation of detection accuracy, speed, and power consumption demonstrates the feasibility for services to utilize a future system built on YouTrace to determine content integrity
Metrics
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18 Record Views
Details
- Title
- Youtrace
- Creators
- Elijah J. S. Houle
- Contributors
- Scott Andrew Wallace (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525138501842
- Language
- English
- Resource Type
- Thesis