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System architecture for error-resilient, embedded JPEG2000 wireless delivery

System architecture for error-resilient, embedded JPEG2000 w...

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International conference on Digital Signal processing (DSP)

作者： M. Martina G. Masera G. Piccinini F. Vacca M. Zamboni Dipartimento di Elettronica Politecnico di Turino Torino Italy

With new, third generation mobile terminals several multimedia-based applications will be soon available. The reliable transmission of audiovisual content will probably become one of the most asked services. On the other hand, when wireless delivery is addressed, it would be desirable to reach very high compression ratio keeping a good image perceptual quality. With these requirements the choice of JPEG2000 as the source encoding stage assures excellent results. However a non-ideal wireless network could seriously affect the received image decoding, despite JPEG2000's error resilience capabilities. In this paper a flexible DSP/FPGA system with high error-resilience features is proposed. Experimental results show very promising visual quality, with a limited complexity overhead, even in the presence of a mean loss rate of 10%.

关键词： Transform coding Streaming media image coding Field programmable gate arrays Telecommunication traffic Digital signal processing chips System performance Wireless networks Decoding Resilience

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A role of burst firings of hindbrain neurons in detecting object distance in electrolocation

A role of burst firings of hindbrain neurons in detecting ob...

引用

International conference on Neural Information processing

作者： E. Murase Y. Kashimori MeiHong Zheng T. Kambara Department of Information Network Science School of Information Systems Division of Bioinfomatics University of Electro-Communications Chofu Tokyo Japan

Weakly electric fish generates electric field around its body using electric organ discharge and can accurately detect the location of an object using the modulation of electric field induced by an object. Objects with electric properties different from those of the surrounding water distort the electric field around fish's body depending on the size, distance and electric properties of objects. It is not clear yet how the fish recognizes the properties of an object such as its electric property, location and size based on its electric image. As the first step to clarify the neuronal mechanism of electrolocation, we developed a model of fish body by which we describe numerically the spatio-temporal patterns of electric field around the fish body. We made also neural models of electroreceptors distributed on the fish body and of electrosensory lateral line lobe (ELL) to investigate what kinds of information of electric field distorted by an object they detect. The models reproduce qualitatively the experimental results about the detections of size, distance, and moving directions of an object. We show that the lateral distance between a moving object and fish is encoded by the synchronous burst firing of ELL neurons, reflecting the spatio-temporal correlations of EOD stimuli received by the receptors.

关键词： Neurons Object detection Marine animals Brain modeling Intelligent networks Fault location visual system Auditory system Signal processing Voltage

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A data hiding method for few-color images

A data hiding method for few-color images

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International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Gang Pan Zhaohui Wu Yunhe Pan Department of Computer Science ad Engineering University of Zhejiang Hangzhou China State Key Laboratory of CAD&CG University of Zhejiang Hangzhou China

ISBN: (纸本)0780374029

The few-color images are often synthetic graphics without complicated color and texture variation, which makes the embedding of invisible digital watermark difficult. This paper proposes a data hiding method that can hide a moderate amount of data in a few-color image, such as cartoon images, binary images, without introducing noticeable artifacts. To achieve least visual quality reduction, the prioritized pattern matching scheme is employed to embed the invisible data in the pixels those are close to the boundaries. The block permutation is also exploited before embedding. No additional color is introduced and the palette keeps unchanged after embedding. Extracting of the hidden data does not require the knowledge of the original image. The experimental results show that the approach achieves a quite great performance in visibility transparency. It is applicable to invisible annotation, covert communication etc.

关键词： Variable speed drives image color analysis Computers

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Despeckling and detection of high reflectance regions from SAR images

Despeckling and detection of high reflectance regions from S...

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International conference on Signal processing Proceedings (ICSP)

作者： E. Bratsolis M. Sigelle Département Traitement du Signal et des Images Ecole Nationale Supérieure des TéIécommunications Paris France

A speckle reduction method for synthetic aperture radar (SAR) images is presented here. This method can be considered as a first step for the extraction of other important information. The second one is the detection of high reflectance regions which yields an important step to continue the segmentation of the total image. We have worked in 3-look simulated and real ERS-1 amplitude images. The iterative filter is based on a membrane model Markov random field (MRF) approximation optimized by a synchronous local iterative method (SLIM). The final form of restoration gives a total sum preserving regularization (TSPR).

关键词： Reflectivity Radar detection Iterative methods Speckle Synthetic aperture radar Data mining image segmentation Filters Biomembranes Markov random fields

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Compression of cDNA and inkjet microarray images

Compression of cDNA and inkjet microarray images

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IEEE International conference on image processing

作者： R. Jornsten Bin Yu Wei Wang K. Ramchandran University of California Berkeley USA

Microarray image technology is a powerful tool for monitoring the expression of thousands of genes simultaneously. Each microarray experiment produces immense amounts of image data, and efficient storage and transmission requires compression that utilizes the microarray image's structure and unique analysis goals. We have developed a progressive compression scheme for microarray images which can be either lossy or lossless. Our scheme has a coded data structure that allows fast decoding and reprocessing of image subsets, and includes summary statistics and image segmentation information. Since visual fidelity is not the end goal for microarray images, we introduce a new measure of distortion for lossy compression: the sensitivity of microarray information extraction to compression loss. We find that a lossy compression ratio of 8:1 for cDNA microarrays minimally affects downstream processing. The average lossless compression ratio is 1.83:1 for cDNA images and 2.43:1 for inkjet images, comparable to state-of-the-art lossless schemas, yet with added flexibility and information.

关键词： image coding image storage Monitoring image analysis Data structures Decoding Statistics image segmentation Distortion measurement Loss measurement

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Plenary speech III: visual appearance modeling and perception with retinal and cortical signal processing

Plenary speech III: visual appearance modeling and perceptio...

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International conference on Information Fusion

作者： B.K. Ghosh Washington University Saint Louis USA

Summary form only given. This talk focuses on the problem of shape estimation using multiple views from a land based mobile robot equipped with CCD cameras and a laser range finder that can compute the range of a target along a fixed horizontal plane. The talk surveys the problem of shape estimation from optical flow of points, lines and algebraic curves and emphasizes the fusion of camera and range sensors. Inspired from Neuroscience, the talk also introduces the role of cortical flow to the problem of encoding visual input signals and subsequently decoding these inputs using maximum likelihood estimates. To end the talk, we model the appearance of an object using principal component analysis and argue the role of appearance dynamics as an alternative to optical flow based algorithms.

关键词： Speech processing Retina Signal processing Optical sensors Shape Robot vision systems Cameras Optical signal processing image motion analysis Mobile robots

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A vertex-based representation of objects in an image

A vertex-based representation of objects in an image

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IEEE International conference on image processing

作者： G. Unal H. Krim A. Yezzi ECE Department NC State University Raleigh NC USA NC State University ECE Department Raleigh NC Georgia Institute of Technology School of Electrical Eng. Atlanta GA

Novel polygon evolution models are introduced in this paper for capturing polygonal object boundaries in images which have one or more objects that have statistically different distributions on the intensity values. The key idea in our approach is to design evolution equations for vertices of a polygon that integrate both local and global image characteristics. Our method naturally provides an efficient representation of an object through a few number of vertices, which also leads to a significant amount of compression of image content. This methodology can effectively be used in the context of MPEG-7. We also propose usage of the Jensen-Shannon criterion as an information measure between the densities of regions of an image to capture more general statistical characteristics of the data.

关键词： Shape Equations MPEG 7 Standard Multimedia databases Layout Data mining image coding Density measurement image databases visual databases

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Performance comparison of feature extraction methods for neural network based object recognition

Performance comparison of feature extraction methods for neu...

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International Joint conference on Neural Networks (IJCNN)

作者： C. Neubauer M. Fang Siemens Corporate Research Inc. Princeton NJ USA

Pre-processing and feature extraction can significantly enhance the performance of a neural network based classifier. In this paper several feature extraction techniques including edge filters, local features and distance transformation are selected for image pre-processing in order to improve the recognition accuracy in combination with a neural network classifier. The visual object recognition performance of these algorithms is extensively compared based on a real world data set with significant variation of viewpoint and illumination.

关键词： Feature extraction Neural networks Object recognition Lighting image recognition Filters Manufacturing Reflection Cameras Training data

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Tag-rased vision: assisting 3D scene analysis with radio-frequency tags

Tag-rased vision: assisting 3D scene analysis with radio-fre...

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International conference on Information Fusion

作者： M. Boukraa S. Ando Department of Information Physics and Computing Tokyo University Bunkyo Tokyo Japan

In image sensing and processing, ambiguities arise when only one source of information is used. Thus, 3D object recognition and localization is a difficult task when using intensity image as single input. This paper presents a machine vision system that uses a Radio Frequency (RF) Tag device to identify objects prior to locating them visually. The tag system consists of a tag reader that can interrogate, and receive radio signals from, tags attached on objects and characterizing them. Laying the basis of an object model database shared on a network, we perform a knowledge-based recognition task where the information retrieved from the database query serves as a prior knowledge. The recognition algorithm used is a matching with projective invariants. We describe how this system can be used for efficient object registration and how the concept of integrated tag based systems can provide new insights in image processing and machine vision.

关键词： image analysis Radio frequency Machine vision visual databases Information resources Object recognition Radiofrequency identification Information retrieval image databases image processing

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Adaptive representation of JPEG2000 images using header-based processing

Adaptive representation of JPEG2000 images using header-base...

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IEEE International conference on image processing

作者： R. Neelamani K. Berkner ECE Department Rice University Houston TX Ricoh Innovations Inc. Menlo Park CA USA

To bridge the mismatch between the sizes of images and display devices, we present an efficient and automatic algorithm to create an adaptive image representation called SmartNail. Given a digital image and rectangular display frame smaller than the image, we define the SmartNail as an appropriately cropped part of a suitably scaled-down image. We choose the SmartNail-defining parameters - down-scaling factor and cropping location - to maximize a bit-allocation-based cost function that quantifies the visual importance of the image content in the SmartNail. For JPEG2000-encoded images, the SmartNail parameters can be determined using just the header information available in the encoded file. Hence, only the wavelet coefficients required to reconstruct the SmartNail need to be decoded from the entire JPEG2000 code stream. Consequently, the SmartNail construction requires minimal computation and memory requirements. Simulations demonstrate the effectiveness of the SmartNail representations.

关键词： Displays Bridges image representation Digital images Cost function Wavelet coefficients image reconstruction Decoding Streaming media Computational modeling

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