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IEEE International Conference on Image processing

作者： N.V. Boulgouris N. Thomos M.G. Strintzis Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Greece

An error-resilient coding scheme is proposed for the transmission of images over unreliable channels. Forward error correction is used in conjunction with the error-resilient source coder for the protection of the compressed stream. Unlike almost all other robust coding schemes presented to date, the proposed scheme is able to decode portions of the bitstream even after the occurrence of uncorrectable errors. The resulting coder is shown to be very efficient for image transmission over noisy channels.

关键词： Image communication Error correction Image coding Forward error correction Protection Decoding Robustness computer errors Streaming media Channel coding

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Unsupervised Kalman filter approach to signature estimation for remotely sensed imagery

Unsupervised Kalman filter approach to signature estimation ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jianwei Wang Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

ISBN: (纸本)078037536X

The commonly used linear spectral unmixing is generally performed on a single pixel basis and does not take advantage of inter-pixel spatial correlation. The Kalman filter has been considered to extend the linear unmixing by taking into account both spectral and spatial correlation. In addition to a linear mixture model implemented as a measurement equation, it includes a state equation to keep track of changes in between pixels. However, Kalman filtering requires the complete knowledge of image endmembers present in image data, which is generally not available and very difficult to obtain a priori. In order to relax this dilemma, this paper presents an unsupervised Kalman filtering (UKF) approach to signature estimation for remotely sensed images. It first uses an anomaly detector combined with orthogonal subspace projection (OSP) to extract desired image endmember signatures directly from the image data, then further applies a discrimination measure to classify the extracted signatures into a set of distinct signatures that will be used in the measurement equation. In order for the UKF to effectively capture spatial correlation among sample image pixels, the state equation is also implemented dynamically to adjust the state transition matrix adaptively. Experimental results have shown that the proposed UKF approach provides additional advantages over the commonly used spectral-based linear unmixing methods.

关键词： Pixel Equations Kalman filters Filtering Nonlinear filters Data mining Remote sensing Detectors Signal processing Image processing

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Error resilience of video transmission by rate-distortion optimization and adaptive packetization

Error resilience of video transmission by rate-distortion op...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Yuxin Liu P. Salama E. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis Indianapolis IN USA

We propose new schemes to introduce error resilience into the compressed video bitstreams for transmission over packet networks. First, we develop an adaptive packetization scheme that prohibits any dependency across packets, for error resilience purposes, while exploiting the dependency within each packet to improve the source coding performance. Secondly, we address a two-layer rate-distortion optimization scheme to serve our packetization method. We also use forward error correction (FEC) coding across packets to provide further error protection. Finally, we present a simplified version of our schemes to make it fully compliant with the current ITU video coding standard - H.263+.

关键词： Resilience Rate-distortion Image coding Video compression computer errors Propagation losses Motion estimation Forward error correction Video coding Streaming media

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Digital envelope detector for blood pressure measurement using an oscillometric method

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Journal of Medical engineering and Technology 2002年第3期26卷 117-122页

作者： Lee, J.Y. Kim, J.K. Yoon, G. Samsung Advanced Institute of Technology Yong-In Korea Republic of Digital Signal Processing Laboratory Department of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea Republic of

Blood pressure measurement in the finger artery offers some advantages compared with that in the brachial artery. However, volume oscillometric signals obtained from finger artery measurement are often influenced by motion artefact due to respiration, speaking, involuntary or voluntary movement, etc. In this paper, we developed a digital envelope detector to detect the maximum oscillation criterion in blood pressure measurement for the first time. The digital envelope detector is robust to noise signals generated by motion artefact and filters out the carrier frequency efficiently. To verify the feasibility of our method, we measured blood pressure for eight subjects using our developed system. The results were compared with the auscultation method. In the case of using a digital envelope detector, we could reduce the mean difference error and standard deviation by 30-40%. Our proposed digital envelope detector is a useful tool to improve the accuracy of blood pressure measurement in finger artery.

关键词： Biomedical engineering

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Error-resilient coding and Forward Error Correction for image transmission over unreliable channels

Error-resilient coding and Forward Error Correction for imag...

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European Signal processing Conference (EUSIPCO)

作者： Nikolaos V. Boulgouris Nikolaos Thomos Michael G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Aristotle University of Thessaloniki Thessaloniki GR

An error-resilient coding scheme is proposed for the transmission of images over unreliable channels. Forward Error Correction is used in conjunction with the error-resilient source coder for the protection of the compressed stream. Unlike almost all other robust coding schemes presented to-date, the proposed scheme is able to decode portions of the bitstream even after the occurrence of uncorrectable errors. The resulting coder will be shown to be very efficient for image transmission over noisy channels.

关键词： Streaming media Image communication Abstracts Image coding Robustness Error correction codes

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A framework for the efficient segmentation of large-format color images

A framework for the efficient segmentation of large-format c...

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IEEE International Conference on Image processing

作者： V. Mezaris I. Kompatsiaris M.G. Strintzis Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

A novel approach to large-format image segmentation is presented, focused on usage in content-based multimedia applications. The proposed framework aims at facilitating the time-efficient segmentation of large-format images while maintaining the high perceptual quality of the segmentation result. For this to be achieved, the employed segmentation algorithm is applied to reduced versions of the large-format images, in order to speed-up its execution, resulting in a coarse-grained segmentation mask. The final fine-grained segmentation mask is produced by an enhancement stage that involves partial reclassification of the pixels of the original image using a Bayes classifier. As shown by experimental evaluation, this novel scheme provides fast segmentation with high perceptual segmentation quality.

关键词： Image segmentation Color Pixel Filter bank Clustering algorithms Information processing Laboratories Informatics Telematics Application software

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Automatic thresholding abundance fractional images for mixed pixel classification

Automatic thresholding abundance fractional images for mixed...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shao-Shan Chiang Chein-I Chang Department of Electrical Engineering Lunghwa University of Science and Technology Taoyuan Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD USA

Mixed pixel classification is different from spatial-based image classification in the sense that the former deals with abundance fractional images resulting from mixed pixels as opposed to classification maps produced by the latter. As a result, mixed pixel classification is generally carried out by visual inspection on the generated abundance fractional images. Consequently, it can be very subjective and vary with different human interpretations. Under such circumstance, it is difficult to substantiate an algorithm and conducting a comparative analysis is impossible. This paper presents one histogram-based approach to thresholding abundance fractional images. It thresholds an abundance fractional image into a binary image using a probability of confidence as a threshold value.

关键词： Pixel Humans Image analysis Inspection Image segmentation Signal processing Image processing Laboratories computer science Image classification

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Adaptive admission control of multimedia traffic in high-speed networks

Adaptive admission control of multimedia traffic in high-spe...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： S. Jagannathan A. Tohmaz A. Chronopoulos H.G. Cheung Embedded Systems and Networking Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Parallel and Distributed Systems Lab Department of Computer Science University of Texas-San Antonio TX USA

This paper proposes a novel real-time adaptive admission control (AAC) scheme with a desired quality of service (QoS) guarantee and high network utilization in high speed networks. The QoS is given in terms of service delay, which is defined as the time it takes for a source to get admitted into the network after it initiates its intended request, packet/cell losses, and transmission delay (time taken to complete transmission from its initiation). AAC uses the following information - the available capacity from a novel adaptive bandwidth estimation scheme, a congestion indicator derived from a congestion controller, peak cell rate estimate from new sources, along with the desired QoS metrics, and outputs an 'admit' or 'reject' decision signal to the new sources while guaranteeing QoS and network utilization. Simulation results are presented by streaming ON/OFF and video data into the network. Results show that the proposed AAC admits significantly more traffic compared to other available admission control schemes thereby guaranteeing high network utilization while maintaining the desired QoS.

关键词： Programmable control Adaptive control Admission control Communication system traffic control High-speed networks Quality of service Delay effects Propagation losses Bandwidth Streaming media

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A nonlinear lowpass filter that eliminates peak attenuation

A nonlinear lowpass filter that eliminates peak attenuation

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

作者： James McNames Brahm Goldstein Biomedical Signal Processing Laboratory Electrical and Computer Engineering Portland State University Portland OR USA Complex Systems Laboratory Department of Pediatrics Oregon Health and Sciences University Portland OR USA

Linear-phase lowpass filters are often used as a preprocessing step in signal processing applications to eliminate high frequency components of noise that do not overlap with the signal spectrum. Signals with sharp peaks confound this type of noise reduction because sharp peaks have a broad spectrum and are significantly attenuated by lowpass filters. This paper describes a simple method that restores the signal peaks to their full amplitude by adding a filtered estimate of the peak residuals to the original lowpass filter output. Examples are given of the nonlinear filter applied to a Poisson process, an electrocardiogram, and an extracellular microelectrode recording of neuron action potentials.

关键词： Filtering algorithms Estimation Neurosurgery Attenuation Surges Noise Filtering

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Relative entropy-based methods for image thresholding

Relative entropy-based methods for image thresholding

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Jianwei Wang Eliza Yingzi Du Chein-I Chang P.D. Thouin Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore USA Department of Defense Fort Meade USA

A relative entropic thresholding approach was recently developed by Chang et al. (see Pattern Recognition, vol. 27, no. 9, p. 1275-1289, 1994). This paper extends Chang et al.'s approach to two more relative entropy-based thresholding methods, called local relative entropy thresholding (LRE) and joint relative entropy thresholding (JRE). Since relative entropy based methods are sensitive to sparse image histograms, a histogram compression and translation is suggested to compact the histogram. In order to achieve an objective assessment, uniformity and shape measures are introduced for performance evaluation. Experimental results show that when image histograms are sparse, with the proposed histogram compression and translation, JRE and LRE generally perform better than Chang et al.'s approach.

关键词： Entropy Histograms Shape measurement Image coding Remote sensing Signal processing Image processing computer science Hardware Inspection

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