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Sensor Networks for Ambient intelligence

Sensor Networks for Ambient Intelligence

引用

ieee Workshop on multimedia signal processing

作者： Eric J. Pauwels Albert A. Salah Romain Tavenard CWI Amsterdam Netherlands IRISA/ENS de Cachan Rennes France

ISBN: (纸本)9781424412730

Due to rapid advances in networking and sensing technology we are witnessing a growing interest in sensor networks, in which a variety of sensors are connected to each other and to computational devices capable of multimodal signal processing and data analysis. Such networks are seen to play an increasingly important role as key enablers in emerging pervasive computing technologies. In the first part of this paper we give an overview of recent developments in the area of multimodal sensor networks, paying special attention to ambient intelligence applications. In the second part, we discuss how the time series generated by data streams emanating from the sensors can be mined for temporal patterns, indicating cross-sensor signal correlations.

关键词： Intelligent sensors Ambient intelligence Multimodal sensors Pervasive computing Mobile communication Computer networks signal processing Computer vision Space technology Consumer electronics

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INTERPRETABLE MODELS FOR DETECTING AND MONITORING ELEVATED INTRACRANIAL PRESSURE 21

INTERPRETABLE MODELS FOR DETECTING AND MONITORING ELEVATED I...

引用

21st ieee International symposium on Biomedical Imaging (ISBI)

作者： Hannan, Darryl Nesbit, Steven C. Wen, Ximing Smith, Glen Zhang, Qiao Goffi, Alberto Chan, Vincent Morris, Michael J. Hunninghake, John C. Villalobos, Nicholas E. Kim, Edward Weber, Rosina O. MacLellan, Christopher J. Drexel Univ Philadelphia PA 19104 USA Univ Toronto Toronto ON Canada Brooke Army Med Ctr Ft Sam Houston TX USA Georgia Inst Technol Atlanta GA USA

ISBN: (纸本)9798350313345;9798350313338

Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic nerve sheath (ONS), resulting in changes to its diameter, which can then be detected using ultrasound imaging devices. However, interpreting sonographic images of the ONS can be challenging. In this work, we propose two systems that actively monitor the ONS diameter throughout an ultrasound video and make a final prediction as to whether ICP is elevated. To construct our systems, we leverage subject matter expert (SME) guidance, structuring our processing pipeline according to their collection procedure, while also prioritizing interpretability and computational efficiency. We conduct a number of experiments, demonstrating that our proposed systems are able to outperform various baselines. One of our SMEs then manually validates our top system's performance, lending further credibility to our approach while demonstrating its potential utility in a clinical setting.

关键词： Machine Learning Computer vision Biomedical Imaging

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Real-time feature point tracking at 1000 fps

Real-time feature point tracking at 1000 fps

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Idaku Ishii Ryo Sukenobe Yuta Moriue Kenkichi Yamamoto Hiroshima University Hiroshima Japan

ISBN: (纸本)9781424448081

Real-time feature point tracking at 1000 fps was performed by implementing a feature point tracking algorithm on a high-speed vision platform, which is improved for hardware integration and high-speed processing at real time. The high-speed vision platform on which the improved algorithm is hardware-implemented can be used to track feature points of 1024×1024 pixel images at 1000 fps. By considering fast-moving objects in the real world, we verified the performance of our developed real-time feature point tracking system.

关键词： Pixel Hardware Real time systems Tracking Field programmable gate arrays Image processing Karhunen-Loeve transforms Feature extraction signal processing Robot vision systems

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Enhanced Shot-Based Video Adaptation using MPEG-21 generic Bitstream Syntax Schema

Enhanced Shot-Based Video Adaptation using MPEG-21 generic B...

引用

ieee symposium on computational intelligence in Image and signal processing, CIISP

作者： Sarah De Bruyne Davy De Schrijver Wesley De Neve Davy Van Deursen Rik Van de Walle Department of Electronics and Information Systems-Multimedia Laboratory-IBBT Ghent University Ledeberg-Ghent Belgium

Semantic video adaptation takes into account the relevance of the different fragments of the video content in order to create a tailored video stream based on the user's preferences. As a shot can be considered as the smallest semantic unit in a video sequence, metadata can be added to each shot using MPEG-7 descriptions. Based on these metadata and the user's preferences, the original bitstream can be adapted in order to obtain the desired fragments. MPEG-21 DIA offers a tool, gBS schema, for exposing the high-level structure of a binary resource as an XML description. In this paper, shot information is inserted in these descriptions to create a link between metadata and semantic video adaptation. Furthermore, this paper proposes to keep the structure of these descriptions format-agnostic. As a result, only one generic transformation style sheet has to be implemented to support shot-based video adaptation of sequences compliant with different video specifications. Special attention is paid to sequences coded with the H.264/AVC standard as this specification contains several interesting features important for shot-based video adaptation

关键词： XML Streaming media Video sequences MPEG 7 Standard computational intelligence Video signal processing Information systems multimedia systems Automatic voltage control Code standards

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Improved H.264/AVC Requantization Transcoding using Low-Complexity Interpolation Filters for 1/4-Pixel Motion Compensation

Improved H.264/AVC Requantization Transcoding using Low-Comp...

引用

ieee symposium on computational intelligence in Image and signal processing, CIISP

作者： Stijn Notebaert Jan De Cock Rik Van de Walle Department of Electronics and Information Systems Multimedia Laboratory Ghent University IBBT Ledeberg-Ghent Belgium

Transcoding is a fast technique for video adaptation, which offers great flexibility for changing the characteristics of already coded video sequences in order to match the properties of the terminal display devices and the bandwidth availability of the transmission networks. For reduction of the bitrate, requantization transcoding is often used. In our previous work, we introduced a hybrid architecture for requantization transcoding, which is able to reduce the bitrate for H.264/AVC bitstreams with quality results approaching the rate-distortion optimal decoder-encoder cascade. In this paper, we focus on the filters used for interpolation of the accumulated requantization errors, which are used for compensation of the current (sub-)macroblock partition. We show that by using reduced complexity filters, computational complexity can be significantly reduced without quality loss

关键词： Automatic voltage control Transcoding Interpolation Filters Motion compensation Bit rate Video sequences Displays Bandwidth Availability

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Video processing architecture: A solution for endoscopic procedures results 5

Video processing architecture: A solution for endoscopic pro...

引用

5th International symposium on Ambient intelligence, ISAmI 2014

作者： Laranjo, Isabel Braga, Joel Assunção, Domingos Rolanda, Carla Lopes, Luís Correia-Pinto, Jorge Alves, Victor CCTC - Computer Science and Technology Center University of Minho Braga Portugal School of Health Sciences University of Minho Braga Portugal ICVS/3B’s - PT Government Associate Laboratory Braga/Guimarães Portugal Department of Gastroenterology Hospital de Braga Portugal Department of Gastroenterology Santa Luzia Hospital Viana do Castelo Portugal Department of Pediatric Surgery Hospital de Braga Portugal

ISBN: (纸本)9783319075952

In this paper we propose an architecture for processing endoscopic procedures results. The goal is to create a complete system capable of processing any type of endoscopic multimedia results, in order to overcome the most common issues in the endoscopic domain (e.g. video’s long-duration, gastroenterologist's possible difficulty to maintain the focus and efficiency during the viewing process, imperfections in images/videos). It was this scenario that led to the conception of the MIVprocessing solution, which will address these and other problems, providing an added value to the elaboration of diagnoses. The MIVprocessing is composed of five tasks: Video Summarization (elimination of the "non-informative" frames);Pre-processing (correction/improvement of the frames);Pre-Detection;Segmentation;and Feature Extraction and Classification. The idea is to create a framework that brings together the capabilities of different but at the same time complementary concepts (e.g. image and signal processing, machine learning, computer vision). This conjugation applied to the endoscopic domain provides a set of features capable of improving the gastroenterologist's activities during and after the procedure. © Springer International Publishing Switzerland 2014.

关键词： Endoscopy

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computational intelligence in industrial quality control

Computational intelligence in industrial quality control

引用

ieee International symposium on Intelligent signal processing

作者： V. Piuri F. Scotti M. Roveri Department of Information Technologies Crema Italy Electronic and Information Department Politecnico of Milan Milan Italy

The aim of the quality control in industrial application is to analyze and monitor the quality of industrial manufacturing activities. signal processing systems and automatic visual inspection systems, which are automatic systems that perform visual inspection by means of machine vision, can play a fundamental role in quality assessment since they can guarantee a high and constant non invasive quality inspection. In the literature a comprehensive analysis of the quality control in industrial applications is not available but several ad-hoc solutions can be found. The solution of quality control problems requires being able to tackle problems of different scientific areas (signal acquisition, signal preprocessing, feature selection and extraction, data fusion and classification). The research efforts led to the development of methodologies that try to integrate all the above activities to design intelligent signal and visual inspection systems for the quality control using. computational intelligence techniques have been recognized in the literature as a good tool which can be used by the designer to achieve these goals.

关键词： computational intelligence Computer industry Industrial control Quality control Electrical equipment industry Inspection Manufacturing industries Monitoring signal processing Machine vision

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Performance Analysis of the Feedforward and SOM Neural Networks in the Face Recognition Problem

Performance Analysis of the Feedforward and SOM Neural Netwo...

引用

ieee symposium on computational intelligence in Image and signal processing, CIISP

作者： M.I. Chacon M. P. Rivas-Perea Digital Signal Processing & Vision Laboratory Chihuahua Institute of Technology Chihuahua Chih México

This paper presents a comparative study between a feedforward neural network and a SOM network. The paper also proposes the incorporation of a new spatial feature, face feature lines, FFL, to represent the faces. FFL are considered as new features based on previous studies related to face recognition tasks on newborns. Besides the face feature lines, the feature vector incorporates eigenvectors of the face image obtained with the Karhunen-Loeve transformation. A face recognition system is based on a feedforward neural network, FFBP, method. The second classification scheme uses a self organized map, SOM, architecture combined with the k-means clustering algorithm. Experiments comparing both architectures show no significant differences for the ORL database, 92% for the FFBP and 90% for the SOM. However results obtained for the Yale database, 60% for the FFBP network and 70% for the SOM, indicate a better performance with the SOM architecture

关键词： Performance analysis Neural networks Feedforward neural networks Face recognition Face detection Pediatrics Principal component analysis Facial features Lighting Robustness

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2007 International symposium on Intelligent signal processing and Communications Systems Proceedings

2007 International Symposium on Intelligent Signal Processin...

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

The following topics are dealt with: coding theory; speech and audio signal processing; wireless personal communication; system on chip; SoC; direct of arrrival estimation; image enhancement and filtering; CDMA; TDMA; OFDM; radar tracking; radar detection; image denoising; feature extraction and detection; information theory; spectral estimation; image segmentation; wireless ad hoc and sensor network; FPGA; embedded system; parameter estimation; channel estimation; image coding; analog circuits; digital filters; filter bank; video coding and transmission; MIMO communication; motion estimation; multimedia management; computational intelligence; image fusion; communication protocols; face detection; PCA; ICA; SVD; optical-signal processing; radar signal processing.

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Determining the skeletal description of sparse shapes

Determining the skeletal description of sparse shapes

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： R. Singh V. Cherkassky N.P. Papanikolopoulos Artificial Intelligence Robotics and Vision Laboratory Department of Computer Science University of Minnesota Minneapolis MN USA Department of Electrical Engineering University of Minnesota Minneapolis MN USA

A variety of techniques in machine vision involve representation of objects by using their shape skeleton. In this paper we present a method to obtain the skeletal shape of binary images in the presence of both boundary noise and noise occurring inside object regions. We propose to obtain the skeletal shape of such images by a modified version of the Kohonen self-organizing map, implemented in a batch processing mode. The modifications allow the map to adapt to the input shape distribution. At each iteration, a competitive Hebbian rule is used to progressively compute the Delaunay triangulation of the shape. Information from the triangulation augments the map topology to yield the final skeletal shape. The batch mode implementation of the self-organizing process, allows our approach to compare very favourably, in terms of computational time, with the traditional flowthrough implementations. Encouraging experimental performance has been obtained on a variety of shapes under varying signal to noise ratios.

关键词： Shape Noise shaping Skeleton Intelligent robots Machine vision Computer vision Noise level Noise figure Machine intelligence Robot vision systems

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