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检索条件"机构=Signal and Image Processing Institute and Center of Neural Engineering"
222 条 记 录,以下是161-170 订阅
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Secure blind image steganographic technique using discrete Fourier transformation
Secure blind image steganographic technique using discrete F...
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IEEE International Conference on image processing
作者: F. Alturki R. Mersereau Department of Electronic Engineering College of Technological Studies Shuwaikh Kuwait Center for Signal and Image Processing Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
We present a new steganographic technique for covert communications. The technique embeds the hidden information in the DFT domain after permuting the image pixels in the spatial domain using a key. The permutation pr... 详细信息
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Unsupervised estimation of the human vocal tract length over sentence level utterances  25
Unsupervised estimation of the human vocal tract length over...
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25th IEEE International Conference on Acoustics, Speech, and signal processing, ICASSP 2000
作者: Necioǧlu, Burhan F. Clements, Mark A. Barnwell, Thomas P. Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States
This paper describes a method for the unsupervised and gender-independent estimation of the average human vocal tract length from the speech waveform, and reports results obtained on Fant's (1960) X-ray vowel data... 详细信息
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A C++ research and development environment for speech and audio processing applications
A C++ research and development environment for speech and au...
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34th Asilomar Conference
作者: Erdem Ertan, A. Barnwell III, T.P. School of Elec./Computer Engineering Center for Signal/Image Processing Georgia Institute of Technology 250 14th Street NW Atlanta GA 30318 United States
Speech and audio processing algorithms, which are based on the processing of the features and signals, are often written using poor programming styles. Understanding the existing source code and extending it is thus a... 详细信息
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Migration of underground targets in UWB-SAR systems
Migration of underground targets in UWB-SAR systems
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IEEE International Conference on image processing
作者: W. Lertniphonphun J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
Ultra-wideband synthetic aperture radar (UWB-SAR) systems can be used for imaging underground targets. However, conventional imaging algorithms that assume a constant velocity of propagation will exhibit degradations ... 详细信息
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Maximum likelihood training of the embedded HMM for face detection and recognition
Maximum likelihood training of the embedded HMM for face det...
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IEEE International Conference on image processing
作者: A.V. Nefian M.H. Hayes Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
The embedded hidden Markov model (HMM) is a statistical model that can be used in many pattern recognition and computer vision applications. This model inherits the partial size invariance of the standard HMM, and, du... 详细信息
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Low bit-rate subband video coding using context models
Low bit-rate subband video coding using context models
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IEEE International Conference on image processing
作者: M.Z. Coban R.M. Mersereau Center for Signal & Image Processing School of Electrical & Computer Engineering Georgia Institute of Technology Atlanta GA USA
We propose a hybrid low bit-rate subband video coding scheme utilizing context models, rate-constrained motion estimation and overlapped motion compensation. Emerging efficient context-based entropy coding techniques ... 详细信息
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A C++ research and development environment for speech and audio processing applications
A C++ research and development environment for speech and au...
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Asilomar Conference on signals, Systems & Computers
作者: A. Erdem Ertan T.P. Barnwell School of Electrical and Computer Engineering Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA USA
Speech and audio processing algorithms, which are based on the processing of the features and signals, are often written using poor programming styles. Understanding the existing source code and extending it is thus a... 详细信息
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Complexity-scalable transform coding using variable complexity algorithms
Complexity-scalable transform coding using variable complexi...
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Data Compression Conference (DCC)
作者: W. Pan A. Ortega Integrated Media Systems Center and Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA
In applications where compression has to be performed under varying complexity constraints (e.g., with hardware having to operate in reduced power mode) it is beneficial to design compression algorithms that allow som... 详细信息
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Optimal scheduling for streaming of scalable media
Optimal scheduling for streaming of scalable media
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Asilomar Conference on signals, Systems & Computers
作者: Z. Miao A. Ortega Integrated Media Systems Center Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA
Scalable, or layered, media representation appears to be more suitable for transmission over the current heterogeneous networks. In this paper we study the problem of scalable layered streaming media delivery over a l... 详细信息
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Error analysis for quadtree image formation
Error analysis for quadtree image formation
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IEEE International Conference on image processing
作者: L.M. Kaplan Seung-Mok Oh M. Cobb J.H. McClellan Department of Engineering Clark Atlanta University Atlanta GA USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
The quadtree image formation technique is a computationally efficient approximation to standard backprojection. Where the computational load of backprojection is O(N/sup 3/) for N sensors forming an N/spl times/N imag... 详细信息
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