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Applied imagery Pattern Recognition Workshop (AIPR)

作者： P.S. Cerkez DCS Corporation MD USA

Semagrams are a subset of steganography. When a message is transmitted in a non-textual format, (i.e., in the visual content of an image), it is referred to as a semagram. While semagrams are relatively easy to create (as shown in published papers covering hiding techniques), detecting a hidden message in or embedded as an image-based semagram is a greater magnitude of difficultly than typical digital steganography. US Patents issued based on semagram technology show that this feature has been exploited in the copyright/watermarking world to increase protection. In a semagram, the image is the message and they work well for simple messages and dead drops. Attacks on semagrams are primarily visual examinations of artifacts. In the counter-espionage world, the rule of the thumb is that there is always a message hidden in an image or graphic, it is simply up to the steganalyst to find it. In short, detecting semagrams is a matter of recognizing patterns of patterns that represent a hidden message within an image. This presentation provides a brief summary of the technology underlying semagrams, present a short non-technical discussion of the technology used in the attack on semagrams, followed by a discussion on current work and planned future implementations of the proven semagram detection ANN. It will focus on extending the ANN to other domains (e.g., non-visual spectrums, multi/cross spectrum correlation, scene identification, image classification) and efforts to improve the processing speed and throughput via parallel/distributed methods.

关键词： Training Testing image coding Artificial neural networks Context Pattern recognition

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A Multi-granularity parallel Model for Unified Remote Sensing image processing WebServices

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TRANSACTIONS IN GIS 2012年第6期16卷 845-866页

作者： Guo, Wei Zhu, Xinyan Hu, Tao Fan, LiWei Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R LIESMARS Wuhan 430079 Peoples R China

The growth of the Web has resulted in the Web-based sharing of distributed geospatial data and computational resources. The Geospatial processing Web (GeoPW) described here is a set of services that provide a wide array of geo-processing utilities over the Web and make geo-processing functionalities easily accessible to users. High-performance remote sensing image processing is an important component of the GeoPW. The design and implementation of high-performance image processing are, at present, an actively pursued research topic. Researchers have proposed various parallel strategies for single image processing algorithm, based on a computer science approach to parallel processing. This article proposes a multi-granularity parallel model for various remote sensing image processing algorithms. This model has four hierarchical interfaces that are labeled the Region of Interest oriented (ROI-oriented), Decompose/Merge, Hierarchical Task Chain and Dynamic Task interfaces or sub-models. In addition, interfaces, definitions, parallel task scheduling and fault-tolerance mechanisms are described in detail. Based on the model and methods, we propose an open-source online platform named OpenRS-Cloud. A number of parallel algorithms were uniformly and efficiently developed, thus certifying the validity of the multi-granularity parallel model for unified remote sensing image processing web services.

关键词： REMOTE-sensing images image processing WEB services parallel programs (Computer programs) GEOSPATIAL data GEOGRAPHIC information systems

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Orthogonal Nonnegative Locally Linear Embedding

Orthogonal Nonnegative Locally Linear Embedding

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Lei Wei Naiyang Guan Xiang Zhang Zhigang Luo Dacheng Tao National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 P.R. China These authors contributed equally to this paper National Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha 410073 P.R. China Centre for Quantum Computation and Intelligence Systems and Faculty of Engineering and Information Technology University of Technology Sydney Sydney NSW 2007 Australia

ISBN: (纸本)9781479906505

Nonnegative matrix factorization (NMF) decomposes a nonnegative dataset X into two low-rank nonnegative factor matrices, i.e., W and H, by minimizing either Kullback-Leibler (KL) divergence or Euclidean distance between X and WH. NMF has been widely used in pattern recognition, data mining and computer vision because the non-negativity constraints on both W and H usually yield intuitive parts-based representation. However, NMF suffers from two problems: 1) it ignores geometric structure of dataset, and 2) it does not explicitly guarantee partsbased representation on any datasets. In this paper, we propose an orthogonal nonnegative locally linear embedding (ONLLE) method to overcome aforementioned problems. ONLLE assumes that each example embeds in its nearest neighbors and keeps such relationship in the learned subspace to preserve geometric structure of a dataset. For the purpose of learning parts-based representation, ONLLE explicitly incorporates an orthogonality constraint on the learned basis to keep its spatial locality. To optimize ONLLE, we applied an efficient fast gradient descent (FGD) method on Stiefel manifold which accelerates the popular multiplicative update rule (MUR). The experimental results on real-world datasets show that FGD converges much faster than MUR. To evaluate the effectiveness of ONLLE, we conduct both face recognition and image clustering on real-world datasets by comparing with the representative NMF methods.

关键词： Nonnegative matrix factorization Locally linear embedding Fast gradient descent Stiefel manifold Dataset Nonnegative matrix decomposition geometrical construction NMF protocol images embedding Flue gas desulfurization Nearest neighbor Orthogonal

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PQH: A Multithreaded parallel NN Search Index for Content-based image Retrieval

PQH: A Multithreaded Parallel NN Search Index for Content-ba...

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26th IEEE International parallel and distributed processing Symposium (IPDPS) / Workshop on High Performance Data Intensive Computing

作者： Chen, Hui-zhong Jing, Ning Chen, Yong-guang Chen, Luo Natl Univ Def Technol Coll Elect Sci & Engn Changsha 410073 Hunan Peoples R China Ordnance Engn Coll Shijiazhuang 050003 Peoples R China

ISBN: (纸本)9780769546766

In this paper, we propose a NN search index method called parallel Quantized Hashing (PQH) for relevant retrieval in Content-Based image Retrieval (CBIR) systems. Aiming at improving the performance of query, the PQH partitions the original dataset into several subsets and keeps the pointers to quantized vectors of each subset in a hashing like structure. It only needs to filter parts of the query space to get candidates via neighboring masks and accesses the corresponding real vectors for precise calculation. The neighboring masks are sets of mask vectors indicating cells close to the query point using different metrics. The PQH is multithreaded designed so that the construction and the query can be run in parallel upon multi-core processors. Our extensive experiments confirm that the sequential PQH is of high query efficiency and outperforms the existing methods such as VA+-file and LSH. The parallel run PQH achieves even higher performance and returns appropriate NN results. And more important it is simple for practical implement in real applications.

关键词： kNN multithreaded parallelism CBIR

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Exploiting parallelism in a X-ray tomography reconstruction algorithm on hybrid multi-GPU and multi-core platforms

Exploiting parallelism in a X-ray tomography reconstruction ...

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2012 10th IEEE International Symposium on parallel and distributed processing with Applications, ISPA 2012

作者： Liria, Ernesto Higuero, Daniel Abella, Monica De Molina, Claudia Desco, Manuel University Carlos III Madrid Spain Hospital General Universitario Gregorio Marañón Madrid Spain

ISBN: (纸本)9780769547015

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flat-panel detector orbiting in a circular trajectory. image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp et al. Currently there are a strong need to speed-up the reconstruction of XRay CT data in order to extend its clinical applications. We present an efficient modular implementation of an FDK-based reconstruction algorithm that takes advantage of the parallel computing capabilities and the efficient bilinear interpolation provided by general purpose graphic processing units (GPGPU). The proposed implementation of the algorithm is evaluated for a high-resolution micro-CT and achieves a speed-up of 46, while preserving the reconstructed image quality. © 2012 IEEE.

关键词： Graphics processing unit

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High-performance computing in image registration

High-performance computing in image registration

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Conference on High-Performance Computing in Remote Sensing II

作者： Zanin, Michele Remondino, Fabio Dalla Mura, Mauro FBK Via Sommar 18 I-38123 Trento Italy Grenoble Inst Technol GIPSA Iab Grenoble France

ISBN: (纸本)9780819492791

Thanks to the recent technological advances, a large variety of image data is at our disposal with variable geometric, radiometric and temporal resolution. In many applications the processing of such images needs high performance computing techniques in order to deliver timely responses e. g. for rapid decisions or real-time actions. Thus, parallel or distributed computing methods, Digital Signal Processor (DSP) architectures, Graphical processing Unit (GPU) programming and Field-Programmable Gate Array (FPGA) devices have become essential tools for the challenging issue of processing large amount of geo-data. The article focuses on the processing and registration of large datasets of terrestrial and aerial images for 3D reconstruction, diagnostic purposes and monitoring of the environment. For the image alignment procedure, sets of corresponding feature points need to be automatically extracted in order to successively compute the geometric transformation that aligns the data. The feature extraction and matching are ones of the most computationally demanding operations in the processing chain thus, a great degree of automation and speed is mandatory. The details of the implemented operations (named LARES) exploiting parallel architectures and GPU are thus presented. The innovative aspects of the implementation are (i) the effectiveness on a large variety of unorganized and complex datasets, (ii) capability to work with high-resolution images and (iii) the speed of the computations. Examples and comparisons with standard CPU processing are also reported and commented.

关键词： High Performance Computing Graphical processing Unit photogrammetry image registration

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Computer Simulation of Magnetic Resonance Angiography Imaging. parallel Implementation in Heterogeneous Computing Environment

Computer Simulation of Magnetic Resonance Angiography Imagin...

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Joint Conference on New Trends in Audio and Video And Signal processing - Algorithms, Architectures, Arrangements and Applications (NTAV/SPA)

作者： Klepaczko, Artur Szczypinski, Piotr Dwojakowski, Grzegorz Kocinski, Marek Strzelecki, Michal Lodz Univ Technol Inst Elect Ul Wolczanska 211-215 PL-90924 Lodz Poland

ISBN: (纸本)9788372835024

Magnetic resonance imaging (MRI) is currently widely used in medical image diagnosis. However, MR scanners are extensively used in clinics and thus are rarely accessible for experimentation. In consequence, the number of images available for image processing methods evaluation is too low and there appears a need for a method to generate synthetic images. In their previous works, the authors studied various methods for blood vessels segmentation and tracking. Effectiveness of the designed algorithms requires objective verification which implies repetition of experiments for large number of images and comparing the results with some ground truth models. Therefore, this study aims at designing a computer system which implements numerical routines for generation of synthetic MRA images. In particular, in this paper we study the performance of various configurations of assembled computer grid and analyze their potential in angiographic image synthesis.

关键词： Magnetic Resonance Angiography Computer Simulation images image diagnosis image synthesis Computer systems experimentation computational grids ground truth Blood Vessels Repetition network computing environments distributed computing environment image processing method Magnetic Resonance Imaging

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A Study on Reliability and Performance Improvement of distributed System for Large-Scale Data processing

A Study on Reliability and Performance Improvement of Distri...

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作者： Yasuhiro KIRIHATA Osaka University

This dissertation is a study on reliability and performance improvement of distributed system for large-scale data processing researched through 1999 to 2012 by the author who is enrolled at Hitachi Solutions, Ltd. and Graduate School of Information Science and Technology, Osaka University. Recently, as the growth rate of data is getting larger, technologies of storing and processing data at low cost are essential in enterprises and organizations. Because the prices of high-performance commodity servers are going down, it is more popular to construct a cluster or a distributed system of those machines for parallel and distributed data processing of the large-scale data set. In those distributed systems, security, performance, scalability, and availability are principal measures of the system. In terms of the security perspective, the thin client system is one of the effective security methods for the distributed systems dealing with a great number of files in the central file servers. However, it does not diffuse because of its expensive introduction and operational cost. For this reason, the methodology for construction of low-cost thin client system is required. In the high-performance perspective, technologies for batch and real-time processing on the cluster of commodity machines are significant. As for the batch processing, one of the important applications is the high-performance parallel generation of segmented indexes for the distributed search system. The resource saving and performance improvement of the index generation and reconfiguration are strongly required. Furthermore, as a representative example of the real-time processing, the parallel rendering on the PC cluster is a significant application. As the image data has high resolution and fine-grained quality with a great number of polygons, it is essential to realize the high performance rendering of the large-scale three dimensional images. Based on this background, we address the following three iss

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SIFT特征分布式并行提取算法

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计算机研究与发展 2012年第5期49卷 1130-1141页

作者：姜桂圆张桂玲张大坤天津工业大学计算机科学与软件学院天津300387

SIFT(scale invariant feature transform)特征在物体检测和识别、图像配准与融合、纹理识别、场景分类、人脸检测、图像检索、三维重建、数字水印、影像追踪等领域具有广泛应用,但存在计算量大、消耗时间长的缺点.基于消息传递机制,采... 详细信息

SIFT(scale invariant feature transform)特征在物体检测和识别、图像配准与融合、纹理识别、场景分类、人脸检测、图像检索、三维重建、数字水印、影像追踪等领域具有广泛应用,但存在计算量大、消耗时间长的缺点.基于消息传递机制,采用数据并行策略,提出了在PC机群或COW(cluster ofworkstation)上提取图像SIFT特征的分布式并行算法(DP-SIFT算法):根据特征空间-高斯尺度金字塔的特点提出了高度宽度受限的数据块划分算法,设计了数据分配和特征调整方法;研究了数据块划分和数据发送方法对通信时间的影响,提出了基于消息传递机制的并行图像处理中数据块划分与数据发送方式协同对通信优化的策略;实验结果表明DP-SIFT算法具有良好的加速性能和较高的处理器利用效率,千兆以太网连接32核的PC机群系统图像规模为1024×768时,加速比和处理器效率分别可以达到20和0.6;图像规模为2048×1536时可达18和0.56.

关键词： SIFT DP—SIFT 数据并行消息传递并行图像处理数据分块

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Proceedings - 2012 International Conference on Computer Science and Information processing, CSIP 2012

Proceedings - 2012 International Conference on Computer Scie...

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2012 International Conference on Computer Science and Information processing, CSIP 2012

ISBN: (纸本)9781467314114

The proceedings contain 361 papers. The topics discussed include: cross-strait information integration application strategy planning-a case study of Kinmen-Xiamen;the observability analysis of aerial moving target location based on dual-satellite geolocation system;application of digital image processing in the measurement of casting surface roughness;study of wavelet denoising in images of vacuum switching arc;research on trust mechanism in military information grid;a new algorithm for packing unequal disks in a larger circle;new tool radius compensation algorithm and implementation;parallel decoupling algorithm for solving the block tri-diagonal linear equations;methods analysis of the liquid ion-exchanged to manufacture the optical waveguide on the glass based;experimental study on quantum data stream cipher using homodyne detection;and the optimal model reduction method for spatially distributed system based on simulated annealing algorithm.

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