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Parallelized computation for Edge Histogram Descriptor using CUDA on the graphics processing Units (GPU)

Parallelized computation for Edge Histogram Descriptor using...

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CSI International symposium on computer Architecture and Digital Systems

作者： Alireza Ahmadi Mohammadabadi Abdolah Chalechale Hadis Heidari Department of Computer Engineering Razi University Kermanshah Iran

Most image processing algorithms are inherently parallel, so multithreading processors are suitable in such applications. In huge image databases, image processing takes very long time for run on a single core processor because of single thread execution of algorithms. GPU is more common in most image processing applications due to multithread execution of algorithms, programmability and low cost. In this paper we show how to implement the MPRG-7 Edge Histogram Descriptor in parallel using CUDA programming model on a GPU. The Edge Histogram Descriptor describes the distribution of various types of edges with a histogram that can be a tool for image matching. This feature is applied to search images from a database which are similar to a query image. We evaluated the retrieval of the proposed technique using recall, precision, and average precision measures. Experimental results showed that parallel implementation led to an average speed up of 14.74×over the serial implementation. The average precision and the average recall of presented method are 67.02% and 55.00% respectively.

关键词： image edge detection graphics processing units Instruction sets Feature extraction Histograms image retrieval Kernel

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Parallel macro pipelining on the intel SCC many-core computer

Parallel macro pipelining on the intel SCC many-core compute...

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2013 IEEE 37th Annual computer Software and Applications Conference, COMPSAC 2013

作者： Suss, Tim Schoenrock, Andrew Meisner, Sebastian Plessl, Christian Johannes Gutenberg-University Mainz Zentrum fur Datenverarbeitung Mainz Germany Carleton University School of Computer Science Ottawa Canada University of Paderborn Paderborn Center for Parallel Computing Paderborn Germany

ISBN: (纸本)9780769549798

In this paper we present how Intel's Single-Chip-Cloud processor behaves for parallel macro pipeline applications. Subsets of the SCC's available cores can be arranged as a pipeline where each core processes one stage of the overall workload. Each of the independent cores processes a small part of a larger task and feeds the following core with new data after it finishes its work. Our case-study is a parallel rendering system which renders successive images and applies different filters on them. On normal graphics adapters this is usually done in multiple cycles, we do this in a single pipeline pass. We show that we can achieve a significant speedup by using multiple parallel pipelines on the SCC. We show that we can further improve performance by using SCC's controlling PC in conjunction with the SCC. We also identify aspects of the SCC that hinder the overall performance, mainly the lack of local memory banks for each core on the SCC. The results presented in this paper are not limited to only image processing, but users could expect similar experiences where macro pipelining is used in other applications on the SCC. © 2013 IEEE.

关键词： Pipelines

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Sketch-Finder: Efficient and Effective Sketch-Based Retrieval for Large image Collections

Sketch-Finder: Efficient and Effective Sketch-Based Retrieva...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Carlos A.F. Filho Arnaldo de A. Arajújo Michel Crucianu Valérie Gouet-Brunet Universidade Federal de Minas Gerais Belo Horizonte MG BR Cnam-CEDRIC France IGN - Laboratoire MATIS

Among various image retrieval approaches, the use of sketches lets one express a precise visual query with simple and widespread means. The challenge consists in finding a content representation that allows you to effectively compare sketches and images, while supporting efficient retrieval in order to make the system scalable. We put forward a sketch-based image retrieval solution where sketches and natural image contours are represented and compared in the wavelet domain. The relevant information regarding query sketches and image content has, thus, a compact representation that can be readily employed by an efficient index for retrieval by similarity. Furthermore, with this solution, the balance between effectiveness and efficiency can be easily modified in order to adapt to the available resources. A comparative evaluation with a state-of-the-art method on the Paris dataset and a subset with 535K images of the image Net dataset shows that our solution can preserve effectiveness while being more than one order of magnitude faster.

关键词： image edge detection Indexes Visualization image retrieval Wavelet domain Estimation Transforms

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Interactive Segmentation by image Foresting Transform on Superpixel Graphs

Interactive Segmentation by Image Foresting Transform on Sup...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Paulo E. Rauber Alexandre X. Falcão Thiago V. Spina Pedro J. de Rezende Institute of Computing University of Campinas (UNICAMP) Campinas SP Brazil

There are many scenarios in which user interaction is essential for effective image segmentation. In this paper, we present a new interactive segmentation method based on the image Foresting Transform (IFT). The method over segments the input image, creates a graph based on these segments (super pixels), receives markers (labels) drawn by the user on some super pixels and organizes a competition to label every pixel in the image. Our method has several interesting properties: it is effective, efficient, capable of segmenting multiple objects in almost linear time on the number of super pixels, readily extendable through previously published techniques, and benefits from domain-specific feature extraction. We also present a comparison with another technique based on the IFT, which can be seen as its pixel-based counterpart. Another contribution of this paper is the description of automatic (robot) users. Given a ground truth image, these robots simulate interactive segmentation by trained and untrained users, reducing the costs and biases involved in comparing segmentation techniques.

关键词： image segmentation Robots Transforms Equations Vectors image color analysis Labeling

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Polygonal Mesh Extraction from Digital Voxel Art

Polygonal Mesh Extraction from Digital Voxel Art

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Carlos Eduardo Vaisman Muniz Anselmo Montenegro Marcos Lage Cristina Nader Vasconcelos Instituto de Computação UFF - Universidade Federal Fluminense Niterói - RJ Brazil

This work presents a method to extract polygonal surfaces from volumetric models created by artists, proposing a way of using voxel modeling tools to build B-Rep models. The volumetric data created by voxel editors usually contain topological features that do not describe solid structures. Hence, the main objective of this work is to solve the problem of extracting triangle meshes from volumes that contain these topological features. In order to extract surfaces successfully, a methodology was conceived to resample any volumetric model, in a way that it is possible to reconstruct a three-dimensional manifold that can be polygonized without generating a surface with gaps or topological problems. The meshes generated by this technique have good properties, satisfying some of the main criteria used to measure the quality of meshes, such as aspect ratio, smoothness and skewness.

关键词： Art Manifolds Topology Data mining Solids Feature extraction image color analysis

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To touch or not to touch? Comparing 2D touch and 3D mid-air interaction on stereoscopic tabletop surfaces 13

To touch or not to touch? Comparing 2D touch and 3D mid-air ...

引用

1st ACM symposium on Spatial User Interaction, SUI 2013

作者： Bruder, Gerd Steinicke, Frank Stürzlinger, Wolfgang Department of Computer Science University of Würzburg Germany Department of Computer Science and Engineering York University Canada

ISBN: (纸本)9781450321419

Recent developments in touch and display technologies have laid the groundwork to combine touch-sensitive display systems with stereoscopic three-dimensional (3D) display. Although this combination provides a compelling user experience, interaction with objects stereoscopically displayed in front of the screen poses some fundamental challenges: Traditionally, touch-sensitive surfaces capture only direct contacts such that the user has to penetrate the visually perceived object to touch the 2D surface behind the object. Conversely, recent technologies support capturing finger positions in front of the display, enabling users to interact with intangible objects in mid-air 3D space. In this paper we perform a comparison between such 2D touch and 3D mid-air interactions in a Fitts' Law experiment for objects with varying stereoscopical parallax. The results show that the 2D touch technique is more efficient close to the screen, whereas for targets further away from the screen, 3D selection outperforms 2D touch. Based on the results, we present implications for the design and development of future touch-sensitive interfaces for stereoscopic displays. Copyright © ACM 2013.

关键词： Stereo image processing

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MRI Iterative Super Resolution with Wiener Filter Regularization

MRI Iterative Super Resolution with Wiener Filter Regulariza...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Marcia L.S. Aguena Nelson D.A. Mascarenha Junia C. Anacleto Sidney S. Fels Departamento de Computação UFSCar - Universidade Federal de São Carlos São Carlos SP Brazil Dept. de Comput. UFSCar - Univ. Fed. de Sao Carlos Sao Carlos Brazil Dept. of Electrical and Computer Engineering The University of British Columbia Vancouver BC Canada

The swallowing process affects several aspects of one's welfare, as nutrition, hydration, respiration and hearing. Magnetic resonance imaging (MRI) has been a valuable tool to study swallowing, since it is a non-invasive procedure that can dynamically capture the shapes of the tongue and other elements involved in the process. The resolution enhancement of the MRI frames support directly diseases diagnoses, helping the visual analysis, or can be a pre-processing tool to segmentation, classification, recognition or modelling. MRI frames with better resolution, with less blurring or noise can be obtained changing the acquisition process, or using more powerful devices, but the cost of this solution is higher than applying computational Super-Resolution (SR) techniques. This paper studies a Bayesian approach to provide a Wiener filter to regularize the conjugate gradient solution, and promote an adaptation of an iterative SR method for non-rigid registration that can be generalized to other iterative SR methods.

关键词： Magnetic resonance imaging Noise image resolution Iterative methods Interpolation Correlation Vectors

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A Multipotential Field Model for Crowds with Scalable Behaviors

A Multipotential Field Model for Crowds with Scalable Behavi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Teófilo B. Dutra Joaquim B. Cavalcante-Neto Creto A. Vidal Soraia R. Musse Department of Computing Universidade Federal do Ceará Fortaleza CE Brazil Computer Science Department Pontifícia Universidade Católica do Rio Grande do Sul RS Brazil

computer simulation of realistic crowd behavior has been the focus of active research for more than two decades now. In crowd simulation, there is usually a trade-off between performance and realistic crowd behavior. In this paper, we propose a model, based on potential fields, that enables the introduction of many behaviors in crowd simulations, while keeping good performance. The model uses multiple groups to guide agents to various different goals in the environment, and combines potential fields and reciprocal velocity obstacles (RVO) approaches, where the first sets the preferred velocities of the agents according to their current goals, whereas the second makes the agents avoid collisions. We used three scenarios to demonstrate the capabilities of our model for simulating crowds in which the agents present greater variety of behaviors in real-time without using a complex architecture.

关键词： Computational modeling Collision avoidance Real-time systems Mathematical model Analytical models graphics Equations

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Query Tools for Interactive Exploration of 3D Neuroimages: Cropping, Probe and Lens

Query Tools for Interactive Exploration of 3D Neuroimages: C...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Shin-Ting Wu José Elías Yauri Vidalón Wallace Souza Loos Ana Carolina Coan School of Electrical and Computer Engineering University of Campinas pinas Brazil School of Medical Sciences University of Campinas Campinas Brazil

Dynamic queries continuously update the data that is visualized in accordance with the user actions. They are typically applied for visual information seeking. This paper proposes to introduce this interaction style for exploring 3D medical neuroimages in its original form, enhancing visual seeking technology in a medical diagnostic procedure. More precisely, we present three dynamic query tools that allow the user to change the focus on-the-fly, while the surrounding tissue is preserved. They are a curvilinear cropper, a volumetric probe and a movable magnifying lens. Once information-preserving visualization is essential for accurate diagnosis and legal protection, the dataset is in its original form. The originality of our work relies on the input interface through which an expert can directly manipulate those tools on the raw data and the responsiveness of each displayed voxel by exploiting the power of GPUs. The proposed techniques have been integrated in a visualization prototype and were assessed by the neuroimaging experts, who were be able to identify subtle lesions in the brain.

关键词： Three-dimensional displays Probes Lenses Rendering (computer graphics) Context Geometry Transfer functions

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A New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation

A New Method for Static Video Summarization Using Local Desc...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Edward J.Y. Cayllahua Cahuina Guillermo Camara Chavez Computer Research Center San Pablo Catholic University Arequipa Peru Department of Computer Science Federal university of Ouro Preto Ouro Preto Brazil

The continuous creation of digital video has caused an exponential growth of digital video content. To increase the usability of such large volume of videos, a lot of research has been made. Video summarization has been proposed to rapidly browse large video collections. To summarize any type of video, researchers have relied on visual features contained in frames. In order to extract these features, different techniques have used local or global descriptors. In this paper, we propose a method for static video summarization that can produce meaningful and informative video summaries. We perform an evaluation using over 100 videos in order to achieve a stronger position about the performance of local descriptors in semantic video summarization. Our experimental results show, with a confidence level of 99%, that our proposed method using local descriptors and temporal video segmentation produces better summaries than state of the art methods. We also demonstrate the importance of a more elaborate method for temporal video segmentation, improving the generation of summaries, achieving 10% improvement in accuracy. We also acknowledge a marginal importance of color information when using local descriptors to produce video summaries.

关键词： Visualization Vectors Histograms Feature extraction image color analysis Semantics image segmentation

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