Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning
A Master of Science thesis in Computer Engineering by Seba Youssef entitled, “Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning”, submitted in December 2020. Thesis advisor is Dr. Tamer Shanableh. Soft copy is available (Thesis, Completion Certificate,...
Saved in:
| Main Author: | Youssef, Seba (author) |
|---|---|
| Format: | doctoralThesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/21375 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances
by: Shanableh, Tamer
Published: (2016) -
Dynamic adaptation for video streaming over mobile devices. (c2013)
by: Jalloul, Rayan A.
Published: (2013) -
Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding
by: Shanableh, Tamer
Published: (2020) -
MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
by: Shanableh, Tamer
Published: (2013) -
Predicting split decisions of coding units in HEVC video compression using machine learning techniques
by: Hassan, Mahitab Alaaeldin
Published: (2018)