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» Detecting Video Forgeries Based on Noise Characteristics
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SSWMC
2004
13 years 8 months ago
Towards fraud-proof ID documents using multiple data hiding technologies and biometrics
Identity documents, such as ID cards, passports, and driver's licenses, contain textual information, a portrait of the legitimate holder, and eventually some other biometric ...
Justin Picard, Claus Vielhauer, Niels J. Thorwirth
ICPR
2004
IEEE
14 years 8 months ago
Improving Cut Detection in MPEG Videos by GOP-Oriented Frame Difference Normalization
The detection of abrupt shot changes ("cuts") in videos is a basic step in video content analysis. Many cut detection algorithms based on histogram differences have been...
Bernd Freisleben, Ralph Ewerth
ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
CDC
2009
IEEE
176views Control Systems» more  CDC 2009»
13 years 5 months ago
Actuator fault detection and diagnosis based on morphology-wavelet
The paper described a novel method for detecting and identifying faults that occur in the actuator of control systems with input and output signals related to the component itself....
Yi Zhang, GuoLian Hou, Baojiang Wu
ICIP
2009
IEEE
13 years 5 months ago
Object detection and tracking for night surveillance based on salient contrast analysis
Night surveillance is a challenging task because of low brightness, low contrast, low Signal to Noise Ratio (SNR) and low appearance information. Most existing models for night su...
Liangsheng Wang, Kaiqi Huang, Yongzhen Huang, Tien...