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» Detecting Video Forgeries Based on Noise Characteristics
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ICIP
2006
IEEE
14 years 9 months ago
Rapid and Reliable Detection of Film Grain Noise
The knowledge of material specific film grain characteristics can significantly improve the performance of digital film processing algorithms. This paper proposes a rapid and reli...
Peter Schallauer, Roland Mörzinger
MMSEC
2005
ACM
114views Multimedia» more  MMSEC 2005»
14 years 27 days ago
Watermarking of MPEG-2 video in compressed domain using VLC mapping
In this work we propose a new algorithm for fragile, high capacity yet file-size preserving watermarking of MPEG-2 streams. Watermarking is done entirely in the compressed domain,...
Bijan G. Mobasseri, Michael P. Marcinak
ICIP
2006
IEEE
14 years 9 months ago
Video Event Detection using ICA Mixture Hidden Markov Models
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
Jian Zhou, Xiao-Ping Zhang
ICASSP
2007
IEEE
13 years 9 months ago
Physics-Based Ball Tracking in Volleyball Videos with its Applications to Set Type Recognition and Action Detection
Despite a lot of research efforts in sports video processing, little work was done in volleyball video analysis due to the high density of players on the court and the complicated...
Hua-Tsung Chen, Hsuan-Sheng Chen, Suh-Yin Lee
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