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» Detecting Irregularities in Images and in Video
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PSIVT
2009
Springer
184views Multimedia» more  PSIVT 2009»
14 years 1 months ago
Detecting Video Forgeries Based on Noise Characteristics
The recent development of video editing techniques enables us to create realistic synthesized videos. Therefore using video data as evidence in places such as a court of law requir...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
MMSEC
2006
ACM
216views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Exposing digital forgeries in video by detecting double MPEG compression
With the advent of sophisticated and low-cost video editing software, it is becoming increasingly easier to tamper with digital video. In addition, an ever-growing number of video...
Weihong Wang, Hany Farid
ICIP
2002
IEEE
14 years 9 months ago
Personalized news through content augmentation and profiling
This paper is concerned with the topic of personalized news assembly at the set-top box, based on augmented video. This is video complemented with additional information that is s...
Norman Haas, Ruud M. Bolle, Nevenka Dimitrova, Ang...
ICIP
2010
IEEE
13 years 5 months ago
Video anomaly detection in spatiotemporal context
Compared to other approaches that analyze object trajectories, we propose to detect anomalous video events at three levels considering spatiotemporal context of video objects, i.e...
Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Ag...
ICIP
2000
IEEE
14 years 9 months ago
Temporal Segmentation of Video Using Frame and Histogram-Space
Two algorithms are presented for the detection of gradual transitions in video sequences. The first is a dissolve detection algorithm utilizing certain properties of a dissolve�...
Robert A. Joyce, Bede Liu