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A novel approach for skew estimation of document images in OCR system

A novel approach for skew estimation of document images in O...

引用

International conference on Computer Graphics, Imaging and visualization, CGIV

作者： M. Sarfraz A. Zidouri S.A. Shahab Department of Information and Computer Science KFUPM Dhahran Saudi Arabia

Optical character recognition (OCR) is an area which has always received special attention. OCR systems are typically built on the strategy of divide and conquer, rather than recognizing documents at one go. They utilize several stages during the course of recognition. There have been many stages in a typical OCR system, preprocessing stage in considered to be indispensable. An input image or information need to be normalized and converted into format acceptable by OCR system. OCR systems typically assume that documents were printed with a single direction of the text and that the acquisition process did not introduce a relevant skew. Practically this assumption is not very strong and printed document could be skewed at some angle with horizontal axis. In this paper, we have proposed a new technique for skew estimation of image document. In the proposed scheme, multiscale properties of an image are utilized together with principal component analysis to estimate the orientation of principal axis of clustered data.

关键词： Optical character recognition software Fourier transforms Discrete wavelet transforms Principal component analysis Wavelet transforms Character recognition Pattern recognition Joining processes Computer science Image converters

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Seeing sound: real-time sound visualisation in visual feedback loops used for training musicians

Seeing sound: real-time sound visualisation in visual feedba...

引用

International conference on Information Visualisation (IV)

作者： S. Ferguson A.V. Moere D. Cabrera School of Architecture Design Science and Planning University of Sydney Australia Key Centre of Design Computing and Cognition University of Sydney Australia

Musicians in training need to understand the sound they are producing in order to improve its deficient aspects. Verbal feedback from musical masters is the usual method used for attaining this understanding. However, using realtime sound visualisation as a complementary form of feedback allows the large amounts of data typical of real-time acoustic analysis to be employed within training. This improves the efficiency of the feedback loop normally present within musical training and pedagogy. The implementation and effect of such a system is discussed.

关键词： Feedback loop data visualization Instruments Displays Appraisal Production Computer architecture Cognition Music Information analysis

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Object and topology extraction from remote sensing images

Object and topology extraction from remote sensing images

引用

IEEE International conference on Image Processing

作者： C. Maire M. Datcu German Aerospace Center (DLR) Remote Sensing Technology Institute Wessling Germany

We present a complete processing line to generate an object based description of optical remote sensing (RS) images. A segmentation algorithm is used to generate a partition of regions and simplify the volume of data. Results are still at the pixel level. Based on topology analyses, a dynamical algorithm is proposed to retrieve, extract the segmented regions and encode them in a tree structure which describes their topological relations (adjacencies, inclusions). The overall collected information constitutes a consistent and independent database, generated efficiently on standard workstation. Many applications are possible, such as content based image retrieval, image description and compression, object classification or image-object fusion. A scenario is presented to emphasize interest of the method in the case of 3D visualization enhancement: image-objects are integrated on elevation data (digital elevation models, DEM) in order to generate more realistic rendering.

关键词： Topology Remote sensing data mining Image segmentation Partitioning algorithms Fusion power generation Optical sensors Algorithm design and analysis Heuristic algorithms Tree data structures

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A scalable generative topographic mapping for sparse data sequences

A scalable generative topographic mapping for sparse data se...

引用

International conference on Information Technology: Coding and Computing (ITCC)

作者： A. Kaban School of Computer Science University of Binningham Birmingham UK

We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data sparseness. The associated parameter estimation algorithm scales linearly with the number of nonzero entries in the observations while still learning a truly nonlinear generative mapping. The latent variables of the model lie in a 2D space that can be used for visualisation. We discuss related work and we provide experimental results on text based documents visualisation as well as the exploratory analysis of Web navigation sequences.

关键词： Parameter estimation data visualization Histograms Predictive models Gold Character generation Computer science Electronic mail Navigation data mining

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The thematic mapping system on internet

The thematic mapping system on internet

引用

International conference on Geoinformatics

作者： Lili Jiang Qingwen Qi An Zhang Institute of Geographical Science and Natural Resource Research Chinese Academy and Sciences Beijing China

ISBN: (纸本)9781424473014

Thematic Mapping Services (TMS) is about providing thematic mapping and analysis as a service way on internet. After the Internet Google launch Google Maps on the Internet in 2005, map application on the Internet appeared in large numbers. A large number of developers through the Google map API mashups maps out a wide variety of applications. With the concept of Web2.0, sharing a large number of open API, the coupling between data services and application services, made geographic visualization with the development of logical analysis. Developers to leverage some of the Government's statistical analysis of data, combined with Google map, super imposed out of a variety of applications, such as: revenue analysis of people in the Chicago area, the earthquake damage in Haiti and so forth. The paper is discussing the new ways and means of thematic mapping in the internet environment to make the maps express more dynamic, more lively and easier to understand.

关键词： Engines Statistical analysis Internet databases Production Geographic Information Systems XML

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ANN Interpolation in MCG Mapping

ANN Interpolation in MCG Mapping

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Shiqin Jiang Jiong Yu Lei Wu Department of Information and Control Engineering University of Tongji Shanghai China

Magnetocardiogram is a kind of medical image based on measuring the weak magnetic field of human heart, which reflects the magnetic activity in the human heart, and provides diagnosis information of heart diseases. At present, before visualizing the map based on very limited data, it should be pretreated through interpolation. To gain the high precision, we researched the interpolation in MCG and proposed a new method to solve it - ANN interpolation. Then we analyzed the performance among ANN interpolation, cubic spline interpolation and linear interpolation. The result is that ANN interpolation can reach the acquirement

关键词： Interpolation Magnetic field measurement Humans Heart Biomedical imaging Medical diagnostic imaging Cardiac disease data visualization Performance analysis Spline

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COTS cluster-based sort-last rendering: performance evaluation and pipelined implementation

COTS cluster-based sort-last rendering: performance evaluati...

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IEEE conference on visualization

作者： X. Cavin C. Mion A. Filbois Inria Lorraine Inria Lorraine France

Sort-last parallel rendering is an efficient technique to visualize huge datasets on COTS clusters. The dataset is subdivided and distributed across the cluster nodes. For every frame, each node renders a full resolution image of its data using its local GPU, and the images are composited together using a parallel image compositing algorithm. In this paper, we present a performance evaluation of standard sort-last parallel rendering methods and of the different improvements proposed in the literature. This evaluation is based on a detailed analysis of the different hardware and software components. We present a new implementation of sort-last rendering that fully overlaps CPU(s), GPU and network usage all along the algorithm. We present experiments on a 3 years old 32-node PC cluster and on a 1.5 years old 5-node PC cluster, both with Gigabit interconnect, showing volume rendering at respectively 13 and 31 frames per second and polygon rendering at respectively 8 and 17 frames per second on a 1024 x 768 render area, and we show that our implementation outperforms or equals many other implementations and specialized visualization clusters.

关键词： Rendering (computer graphics) Clustering algorithms Hardware visualization Computer graphics Image resolution Computer networks Concurrent computing Distributed computing Computed tomography

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Jingle Jungle Maps - Capturing Urban Sounds and Emotions in Maps

Jingle Jungle Maps - Capturing Urban Sounds and Emotions in ...

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International conference on eDemocracy & eGovernment (ICEDEG)

作者： Timo Spring Donat Ajro Jhonny Pincay Moreno Colombo Edy Portmann University of Bern Bern Switzerland University of Fribourg Fribourg Switzerland Human-IST Institute University of Fribourg Fribourg Switzerland

ISBN: (数字)9781728158822

ISBN: (纸本)9781728158839

People living in urban areas suffer from increasing noise pollution. Local and national governments invest efforts in the development of sensor-based noise monitoring systems and long-term plans to reduce noise pollution. However, deploying such sensor-based systems on a city scale is very expensive. In this work, Jingle Jungle Maps, a tool for the visualization and localization of sounds in urban spaces is proposed. By means of social media data gathered from Flickr, the researchers attempt to perform a text-based analysis on each post to identify noise sources and localize them on a map. An approximation of the emotions these sounds might evoke and their perceived level of loudness are also estimated with fuzzy logic and computing with words methods. A prototype showing the results of this analysis on ten thousand posts from the city of Bern, Switzerland, is presented in this article. Furthermore, an evaluation on five hundred posts showed acceptable precision levels for the estimation of sound sources.

关键词： Urban areas Social network services Pollution Fuzzy logic Monitoring data visualization Pollution measurement

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Historical recall and precision: summarizing generated hypotheses

Historical recall and precision: summarizing generated hypot...

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International conference on Document analysis and Recognition

作者： R. Zanibbi D. Blostein J.R. Cordy Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal Canada School of Computing Queen's University Kingston Canada

Document recognition involves many kinds of hypotheses: segmentation hypotheses, classification hypotheses, spatial relationship hypotheses, and so on. Many recognition strategies generate valid hypotheses, which are eventually rejected, but current evaluation methods consider only accepted hypotheses. As a result, we have no way to measure errors associated with rejecting valid hypotheses. We propose describing hypothesis generation in more detail, by collecting the complete set of generated hypotheses and computing the recall and precision of this set: we call these the 'historical recall' and 'historical precision.' Using table cell detection examples, we demonstrate how historical recall and precision along with the complete set of generated hypotheses assist in the evaluation, debugging, and design of recognition strategies.

关键词： Books History Debugging Pattern recognition Machine intelligence Information analysis Decision making data structures data visualization Text analysis

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Improving 2D scatterplots effectiveness through sampling, displacement, and user perception

Improving 2D scatterplots effectiveness through sampling, di...

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International conference on Information Visualisation (IV)

作者： E. Bertini G. Santucci Dipartimento di Informatica e Sistemistica Università di Roma La Sapienza Rome Italy

In this paper we present a novel, hybrid, and automatic strategy whose goal is to reduce the 2D scatter plot cluttering. The presented technique relies on a combination of nonuniform sampling and pixel displacement and it is driven by perceptual results coming from a suitable user study. The same results are used to define precise quality metrics that allow for validating our approach.

关键词： Scattering Sampling methods Image sampling data visualization Degradation Extraterrestrial measurements Remuneration Merging data analysis Density measurement

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