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14
Multiple Description Coding: Compression Meets the Network
, 2001
"... This article focuses on the compressed representations of the pictures ..."
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Cited by 433 (9 self)
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This article focuses on the compressed representations of the pictures
Generalized multiple description coding with correlating transforms
 IEEE Trans. Inform. Theory
, 2001
"... Abstract—Multiple description (MD) coding is source coding in which several descriptions of the source are produced such that various reconstruction qualities are obtained from different subsets of the descriptions. Unlike multiresolution or layered source coding, there is no hierarchy of descriptio ..."
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Cited by 80 (2 self)
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Abstract—Multiple description (MD) coding is source coding in which several descriptions of the source are produced such that various reconstruction qualities are obtained from different subsets of the descriptions. Unlike multiresolution or layered source coding, there is no hierarchy of descriptions; thus, MD coding is suitable for packet erasure channels or networks without priority provisions. Generalizing work by Orchard, Wang, Vaishampayan, and Reibman, a transformbased approach is developed for producing descriptions of antuple source,. The descriptions are sets of transform coefficients, and the transform coefficients of different descriptions are correlated so that missing coefficients can be estimated. Several transform optimization results are presented for memoryless Gaussian sources, including a complete solution of the aP, aPcase with arbitrary weighting of the descriptions. The technique is effective only when independent components of the source have differing variances. Numerical studies show that this method performs well at low redundancies, as compared to uniform MD scalar quantization. Index Terms—Erasure channels, integertointeger transforms, packet networks, robust source coding.
Theoretical Foundations of Transform Coding
, 2001
"... This article explains the fundamental principles of transform coding; these principles apply equally well to images, audio, video, and various other types of data, so abstract formulations are given. Much of the material presented here is adapted from [14, Chap. 2, 4]. The details on wavelet transfo ..."
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Cited by 79 (6 self)
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This article explains the fundamental principles of transform coding; these principles apply equally well to images, audio, video, and various other types of data, so abstract formulations are given. Much of the material presented here is adapted from [14, Chap. 2, 4]. The details on wavelet transformbased image compression and the JPEG2000 image compression standard are given in the following two articles of this special issue [38], [37]
Distributed signal processing algorithms for the sensor . . .
, 2003
"... We consider the design of efficient algorithms for the sensor broadcast problem. In this problem, sensors are deployed on a field, and they collect (correlated) samples of a stochastic process that unfolds over the fieldthe goal then is for each sensor to broadcast a rate constrained encoding of ..."
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Cited by 35 (6 self)
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We consider the design of efficient algorithms for the sensor broadcast problem. In this problem, sensors are deployed on a field, and they collect (correlated) samples of a stochastic process that unfolds over the fieldthe goal then is for each sensor to broadcast a rate constrained encoding of its sample to every other sensor, so that all nodes are able to form an estimate of the entire field, to within a prescribed distortion value. In previous work, we established the existence of solutions to the sensor broadcast problem. In this paper, we present distributed algorithms for computing linear signal expansions that form the core of a sensor broadcast protocol. Fundamental to our claim of practicality is the use of compactly supported wavelets: compact support for the basis functions translates into localized communication patternsto decorrelate, sensors only need access to samples from a few nearby sensors, irrespective of network size.
Optimal Filter Banks for Multiple Description Coding: Analysis and Synthesis
 IEEE Transactions on Information Theory
"... Multiple Description (MD) coding is a source coding technique for information transmission over unreliable networks. In MD coding, the coder generates several different descriptions of the same signal and the decoder can produce a useful reconstruction of the source with any received subset of these ..."
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Cited by 20 (4 self)
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Multiple Description (MD) coding is a source coding technique for information transmission over unreliable networks. In MD coding, the coder generates several different descriptions of the same signal and the decoder can produce a useful reconstruction of the source with any received subset of these descriptions. In this paper we study the problem of MD coding of stationary Gaussian sources with memory. First, we compute an approximate MD rate distortion region for these sources, which we prove to be asymptotically tight at high rates. This region generalizes the MD rate distortion region of El Gamal, Cover and Ozarow for memoryless Gaussian sources. Then, we develop an algorithm for the design of optimal twochannel biorthogonal filter banks for MD coding of Gaussian sources. We show that optimal filters are obtained by allocating the redundancy over frequency with a reverse "waterfilling" strategy. Finally, we present experimental results which show the effectiveness of our filter banks in the low complexity, low rate regime.
A Feasibility Study Regarding Implementation of Holographic Audio Rendering Techniques Over Broadcast Networks
, 2003
"... At the present time, 5 channel surround sound has become standard for a high quality audio reproduction. In the nearest future new rendering systems with higher number of audio channels will be introduced to the consumer market. One of emerging audio rendering technologies is Wave Field Synthesis (W ..."
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Cited by 1 (0 self)
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At the present time, 5 channel surround sound has become standard for a high quality audio reproduction. In the nearest future new rendering systems with higher number of audio channels will be introduced to the consumer market. One of emerging audio rendering technologies is Wave Field Synthesis (WFS), which creates a perceptually correct spatial impression over the entire listening area. The main problem for the feasibility...
LowComplexity Transform Coding with IntegertoInteger Transforms
"... In this paper we propose the application of a new transformbased coding method[1] in conjunction with GolombRice ( ) codes to lower significantly the complexity, which can be used in various applications, e.g. the Multiple Description coding[2]. The theoretical evaluations predict no important los ..."
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In this paper we propose the application of a new transformbased coding method[1] in conjunction with GolombRice ( ) codes to lower significantly the complexity, which can be used in various applications, e.g. the Multiple Description coding[2]. The theoretical evaluations predict no important loss in compression performance, while the complexity is considerably reduced. Since codes are very fast and well suited for exponentially decaying distributions, they were implemented during the last decade in image and audio compressors. In all these schemes, the selection of the code parameter is performed presuming Laplacian distribution of prediction errors. We derive the selection method for the code parameter also for the case of Gaussian inputs. 1.
1RealTime Perceptual MovingHorizon MultipleDescription Audio Coding
"... Abstract—A novel scheme for perceptual coding of audio for robust and realtime communication is designed and analyzed. As an alternative to PCM, DPCM, and more general noiseshaping converters, we propose to use psychoacoustically optimized noiseshaping quantizers based on the movinghorizon prin ..."
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Abstract—A novel scheme for perceptual coding of audio for robust and realtime communication is designed and analyzed. As an alternative to PCM, DPCM, and more general noiseshaping converters, we propose to use psychoacoustically optimized noiseshaping quantizers based on the movinghorizon principle. In movinghorizon quantization, a few samples lookahead is allowed at the encoder, which makes it possible to better shape the quantization noise and thereby reduce the resulting distortion over what is possible with conventional noiseshaping techniques. It is first shown that significant gains over linear PCM can be obtained without introducing a delay and without requiring postprocessing at the decoder, i.e., the encoded samples can be stored as e.g., 16bit linear PCM on CDROMs, and played out on standardscompliant CD players. We then show that multipledescription coding can be combined with movinghorizon quantization in order to combat possible erasures on the wireless link without introducing additional delays. Index Terms—Low delay source coding, multipledescription coding, moving horizon quantization, perceptual audio coding I.
1 Integer Polar Coordinates for Compression
, 2007
"... Abstract — This paper introduces a family of integertointeger approximations to the Cartesiantopolar coordinate transformation and analyzes its application to lossy compression. A highrate analysis is provided for an encoder that first uniformly scalar quantizes, then transforms to “integer pol ..."
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Abstract — This paper introduces a family of integertointeger approximations to the Cartesiantopolar coordinate transformation and analyzes its application to lossy compression. A highrate analysis is provided for an encoder that first uniformly scalar quantizes, then transforms to “integer polar coordinates, ” and finally separately entropy codes angle and radius. For sources separable in polar coordinates, the performance (at high rate) is shown to match that of entropyconstrained unconstrained polar quantization—where the angular quantization is allowed to depend on the radius. Thus, for sources separable in polar coordinates but not separable in rectangular coordinates— including certain Gaussian scale mixtures—the proposed system performs better than any transform code. Furthermore, unlike unconstrained polar quantization, integer polar coordinates are appropriate for lossless compression of integervalued vectors. Combination of integer polar coordinates with integertointeger transform coding is also discussed. Index Terms — entropy coding, Gauss circle problem, Gaussian scale mixtures, highrate quantization theory, integertointeger
Hyperspectral Image Dimensionality Reduction with Metamer Discrimination Preservation
, 2006
"... Hyperspectral imaging, even when restricted to the visible spectrum range, allows what is indiscriminable to the human visual system to become discriminable. The typical human ..."
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Hyperspectral imaging, even when restricted to the visible spectrum range, allows what is indiscriminable to the human visual system to become discriminable. The typical human