Digital video forgery detection
Recently, a number of digital image forensic techniques have been developed which are capable of detect double joint photographic experts group (JPEG) compression when the primary compression and the secondary compression have different quantization matrixes. But when the matrixes are the same, it i...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/10356/48610 |
| _version_ | 1826128512227999744 |
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| author | Pham, Xuan Bach. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Pham, Xuan Bach. |
| author_sort | Pham, Xuan Bach. |
| collection | NTU |
| description | Recently, a number of digital image forensic techniques have been developed which are capable of detect double joint photographic experts group (JPEG) compression when the primary compression and the secondary compression have different quantization matrixes. But when the matrixes are the same, it is reported that there is no effective method for detection in that case.
The project “Digital video forgery detection” has been carried out to study algorithms and processes that were proposed in a paper. It mentioned a good technique that is based on the difference in JPEG coefficients of a JPEG image when compress over and over to detect double JPEG compression. This report describes and evaluates the algorithms as well as the implementations and results of this method. |
| first_indexed | 2024-10-01T07:26:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/48610 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:26:09Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/486102023-03-03T21:18:11Z Digital video forgery detection Pham, Xuan Bach. School of Computer Engineering Forensics and Security Lab Kong Wai-Kin Adams DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Recently, a number of digital image forensic techniques have been developed which are capable of detect double joint photographic experts group (JPEG) compression when the primary compression and the secondary compression have different quantization matrixes. But when the matrixes are the same, it is reported that there is no effective method for detection in that case. The project “Digital video forgery detection” has been carried out to study algorithms and processes that were proposed in a paper. It mentioned a good technique that is based on the difference in JPEG coefficients of a JPEG image when compress over and over to detect double JPEG compression. This report describes and evaluates the algorithms as well as the implementations and results of this method. Bachelor of Engineering (Computer Engineering) 2012-04-27T04:49:37Z 2012-04-27T04:49:37Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48610 en Nanyang Technological University 41 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Pham, Xuan Bach. Digital video forgery detection |
| title | Digital video forgery detection |
| title_full | Digital video forgery detection |
| title_fullStr | Digital video forgery detection |
| title_full_unstemmed | Digital video forgery detection |
| title_short | Digital video forgery detection |
| title_sort | digital video forgery detection |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | http://hdl.handle.net/10356/48610 |
| work_keys_str_mv | AT phamxuanbach digitalvideoforgerydetection |