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» Detecting Video Forgeries Based on Noise Characteristics
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SPEECH
2008
97views more  SPEECH 2008»
13 years 7 months ago
A new approach for the adaptation of HMMs to reverberation and background noise
Looking at practical application scenarios of speech recognition systems several distortion effects exist that have a major influence on the speech signal and can considerably det...
Hans-Günter Hirsch, Harald Finster
IJCAI
1989
13 years 8 months ago
Noise-Tolerant Instance-Based Learning Algorithms
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
David W. Aha, Dennis F. Kibler
EUROCON
2011
281views Hardware» more  EUROCON 2011»
12 years 11 months ago
Browsing videos by automatically detected audio events
—This paper focuses on Audio Event Detection (AED), a research area which aims to substantially enhance the access to audio in multimedia content. With the ever-growing quantity ...
Virginia Barbosa, Thomas Pellegrini, Miguel Bugalh...
ICPR
2000
IEEE
14 years 8 months ago
Detection and Location of People in Video Images Using Adaptive Fusion of Color and Edge Information
A new method of finding people in video images is presented. Detection is based on a novel background modeling and subtraction approach which uses both color and edge information....
Sumer Jabri, Zoran Duric, Harry Wechsler, Azriel R...
ICPR
2004
IEEE
14 years 8 months ago
An Undecimated Wavelet Transform Based Denoising, PPCA Based Pulse Modeling and Detection-Classification of PD Signals
Authors Address the problem of recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD) buried in excessive noise. The major bottleneck being...
Pradeep Kumar Shetty, T. S. Ramu