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检索条件"任意字段=21st Brazilian Symposium on Computer Graphics and Image Processing"

共 214 条记录，以下是131-140 订阅

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Visualization and Analysis of Parallel Dataflow Execution with Smart Traces

Visualization and Analysis of Parallel Dataflow Execution wi...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Daniel K. Osmari Huy T. Vo Cláudio T. Silva João L. D. Comba Lauro Lins Polytechnic School of Engineering New York University UFRGS Instituto de Informática AT&T Research

ISBN: (纸本)9781479942572

Most performance analysis tools focus on presenting an overload of details, with little application-dependent structure, and predefined statistical summaries. This makes the complex relations present in a parallel program not directly recognisable to the user, making the task of identifying performance issues more costly in both time and effort. In this work we investigate the requirements to create visualisations of execution traces of parallel programs modelled as dataflows. We propose the Smart Trace (st) concept, to encode the structure of the data, and guide the construction of specialised visualizations. A visualization tool can then leverage the relationships in the data to automate a given analysis task. We show with examples the power and flexibility of visualisations we can create to address specific questions formulated about the analysis of the data, with emphasis in parallel dataflow traces.

关键词： Data visualization Pipelines Instruments graphics processing units Ports (computers) image color analysis Data models

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Proceedings - 21st brazilian symposium on computer graphics and image processing, SIBGRAPI 2008

Proceedings - 21st Brazilian Symposium on Computer Graphics ...

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21st brazilian symposium on computer graphics and image processing, SIBGRAPI 2008

ISBN: (纸本)9780769533582

The proceedings contain 38 papers. The topics discussed include: automatic produce classification from images using color, texture and appearance cues;face recognition aiding historical photographs indexing using a two-stage training scheme and an enhanced distance measure;a new training algorithm for pattern recognition technique based on straight line segments;crop type recognition based on Hidden Markov Models of plant phenology;synchronizing video cameras with non-overlapping fields of view;people detection under occlusion in multiple camera views;occlusion handling for object tracking using a fast level set method;efficient text color modulation for printed side communications and data hiding;estimating the skew angle of scanned document through background area information;and benchmark for quantitative evaluation of assisted object segmentation methods to image sequences.

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image Segmentation Using Hardware Forest Classifiers

Image Segmentation Using Hardware Forest Classifiers

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21st Annual International IEEE symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Pittman, Neil Forin, Alessandro Criminisi, Antonio Shotton, Jamie Mahram, Atabak Microsoft Res Redmond WA 98052 USA Microsoft Res Cambridge England Boston Univ Boston MA 02215 USA

ISBN: (纸本)9780769549699;9781467360050

image segmentation is the process of partitioning an image into segments or subsets of pixels for purposes of further analysis, such as separating the interesting objects in the foreground from the un-interesting objects in the background. In many image processing applications, the process requires a sequence of computational steps on a per pixel basis, thereby binding the performance to the size and resolution of the image. As applications require greater resolution and larger images the computational resources of this step can quickly exceed those of available CPUs, especially in the power and thermal constrained areas of consumer electronics and mobile. In this work, we use a hardware tree-based classifier to solve the image segmentation problem. The application is background removal (BGR) from depth-maps obtained from the Microsoft Kinect sensor. After the image is segmented, subsequent steps then classify the objects in the scene. The approach is flexible: to address different application domains we only need to change the trees used by the classifiers. We describe two distinct approaches and evaluate their performance using the commercial-grade testing environment used for the Microsoft Xbox gaming console.

关键词： NUI FPGA Smart Cameras computer Vision Kinect

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Efficient geometric graph matching using vertex embedding 13

Efficient geometric graph matching using vertex embedding

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21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2013

作者： Armiti, Ayser Gertz, Michael Institute of Computer Science Heidelberg University Germany

ISBN: (纸本)9781450325219

For many applications such as road network analysis and image processing, it is critical to study spatial properties of objects in addition to object relationships. Geometric graphs provide a suitable modeling framework for such applications, where vertices are located in some 2D space. For applications where the similarity between the structures of different graphs plays an important role, typically, inexact graph matching algorithms are employed. However, graph matching algorithms face many problems such as scalability with respect to graph size and less tolerance to changes in graph structure or labels. In this paper, we propose a solution to the problem of inexact graph matching for geometric graphs in the 2D space. Our approach allows to effectively answer subgraph and common subgraph queries for geometric graphs that differ in structure, spatial properties, and labels. Initially, a spatial feature is extracted from each vertex, and string edit distance is used to find the distance between pairs of vertices. To speed up graph matching, we propose vertex embedding into the Euclidean space. Based on this, the distance between two vertices can be computed using the Euclidean distance in constant time. To answer subgraph and common subgraph queries, we introduce an iterative matching algorithm that matches two graphs using their similarity in the Euclidean space. Such an algorithm merges highly similar vertices to create similar connected subgraphs. Using representative geometric graphs extracted from road networks, we show that our approach outperforms existing graph matching approaches in terms of matching quality and runtime. © 2013 ACM.

关键词： Graphic methods

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A High Throughput No-stall Golomb-Rice Hardware Decoder

A High Throughput No-Stall Golomb-Rice Hardware Decoder

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Annual IEEE symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Roger Moussalli Walid Najjar Xi Luo Amna Khan Department of Computer Science and Engineering University of California Riverside Riverside USA

Integer compression techniques can generally be classified as bit-wise and byte-wise approaches. Though at the cost of a larger processing time, bit-wise techniques typically result in a better compression ratio. The Golomb-Rice (GR) method is a bit-wise lossless technique applied to the compression of images, audio files and lists of inverted indices. However, since GR is a serial algorithm, decompression is regarded as a very slow process; to the best of our knowledge, all existing software and hardware native (non-modified) GR decoding engines operate bit-serially on the encoded stream. In this paper, we present (1) the first no-stall hardware architecture, capable of decompressing streams of integers compressed using the GR method, at a rate of several bytes (multiple integers) per hardware cycle; (2) a novel GR decoder based on the latter architecture is further detailed, operating at a peak rate of one integer per cycle. A thorough design space exploration study on the resulting resource utilization and throughput of the aforementioned approaches is presented. Furthermore, a performance study is provided, comparing software approaches to implementations of the novel hardware decoders. While occupying 10% of a Xilinx V6LX240T FPGA, the no-stall architecture core achieves a sustained throughput of over 7 Gbps.

关键词： image coding Pipelines Hardware Decoding Encoding Throughput computer architecture

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A Multithreaded VLIW Soft Processor Family

A Multithreaded VLIW Soft Processor Family

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Annual IEEE symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Kalin Ovtcharov Ilian Tili J. Gregory steffan Department of Electrical and Computer Engineering University of Toronto Canada

Summary form only given. There is growing commercial interest in using FPGAs for compute acceleration. To ease the programming task for non-hardware-expert programmers, systems are emerging that can map high-level languages such as C and OpenCL to FPGAs-targeting compiler-generated circuits and soft processing engines. Soft processing engines such as CPUs are familiar to programmers, can be reprogrammed quickly without rebuilding the FPGA image, and by their general nature can support multiple software functions in a smaller area than the alternative of multiple per-function synthesized circuits. Finally, compelling processing engines can be incorporated into the output of high-level synthesis systems. For FPGA-based soft compute engines to be compelling they must be computationally dense: they must achieve high throughput per area. For simple CPUs with simple functional units (FUs) it is relatively straightforward to achieve good utilization, and it is not overly-detrimental if a small, single-pipeline-stage FU such as an integer adder is under-utilized. In contrast, larger, more deeply pipelined, more numerous, and more varied FUs can be quite challenging to keep busy-even for an engine capable of extracting instruction-level parallelism (ILP) from an application. Hence a key challenge for FPGA-based compute engines is how to maximize compute density (throughput per-area) by achieving high utilization of a datapath composed of multiple varying FUs of significant and varying pipeline depth. In this work, we propose a highly-parameterizable template architecture of a multi-threaded FPGA-based compute engine designed to highly-utilize varied and deeply pipelined FUs. Our approach to achieving high utilization is to leverage (i) support for multiple thread contexts (ii) thread-level and instruction-level parallelism, and (iii) static compiler analysis and scheduling. We focus on deeply-pipelined, IEEE-754 floating-point FUs of widely-varying latency, executing both Ho

关键词： Engines Throughput Field programmable gate arrays Instruction sets Area measurement computer architecture Context

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image retrieval by content based on a visual attention model and genetic algorithms 21st

Image retrieval by content based on a visual attention model...

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21st brazilian symposium on Artificial Intelligence, SBIA 2012

作者： Heinen, Milton Roberto Engel, Paulo Martins UDESC – Center of Technological Sciences Joinville SCCEP 89219-710 Brazil UFRGS – Informatics Institute Porto Alegre RSCEP 91501-970 Brazil

ISBN: (纸本)9783642344589

This paper proposes a new method for content-based image retrieval that uses a computational model of visual attention and genetic algorithm to find a given object in a set of images with different backgrounds. This method is composed by three main modules: a visual attention model that is quite robust against affine transformations;a color-based schematic representation of visual information;and a genetic algorithm that optimizes several parameters of the visual attention model in order to focus the attention mechanism on those regions of the image where it is most likely that a given object is present. The proposed method is validated through several experiments, and these experiments show that it can find the images that contain the sought object as well as the position and scale of the object in these images. © Springer-Verlag Berlin Heidelberg 2012.

关键词： computer vision

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21th brazilian symposium on Artificial Intelligence, SBIA 2012

21th Brazilian Symposium on Artificial Intelligence, SBIA 20...

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21st brazilian symposium on Artificial Intelligence, SBIA 2012

ISBN: (纸本)9783642344589

The proceedings contain 23 papers. The special focus in this conference is on Knowledge Representation and Machine Learning. The topics include: On the development of a formal methodology for knowledge representation in defeasible logic programming;a framework for empirical evaluation of belief change operators;sensorimotor domain approach for artificial autonomous cognitive development;a service-oriented architecture for assisting the authoring of semantic crowd maps;user-centric principles in automated decision making;wearable computing;density-based pattern discovery in distributed time series;filter approach feature selection methods to support multi-label learning based on relieff and information gain;automatic analysis of leishmania infected microscopy images via gaussian mixture models;link prediction in complex networks based on cluster information;a parallel approach to clustering with ant colony optimization;on the use of consensus clustering for incremental learning of topic hierarchies;image retrieval by content based on a visual attention model and genetic algorithms;a symbolic representation method to preserve the characteristic slope of time series;orchestrating multiagent learning of penalty games;an architectural model for autonomous normative agents;a coalition formation mechanism for trust and reputation-aware multi-agent systems;profile recommendation in communities of practice based on multiagent systems;knowledge-intensive word disambiguation via common-sense and wikipedia;context-sensitive ASR for controlling the navigation of mobile robots;an evaluation of the model of stigmergy in a robocup rescue multiagent system;an ecology-based heterogeneous approach for cooperative search and providing trade-off techniques subsets to improve software testing effectiveness.

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Development of an intuitive interface based on facial orientations and gazing actions for auto-wheel chair operation

Development of an intuitive interface based on facial orient...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Nobuaki Nakazawa Ilhwan Kim Takashi Mori Hiroki Murakawa Motohiro Kano Aya Maeda Toshikazu Matsui Kou Yamada Department of Production of Science and Technology Gunma University Oota Gunma Japan Department of Electrical and Electronic Engineering Kangwon University Chuncheon South Korea

This paper suggests an intuitive interface based on the facial orientations and gazing actions for auto-wheel chair operation. The real-time image of the operator's face was taken to the computer through the USB camera to observe the operational intention. The changes in the darkness area of the both nostrils were utilized for recognition of the face orientations. When the operator faced to up and downward, the darkness areas of both nostrils were increased and decreased, respectively. On the other hand, the difference between two nostril areas could be caused in cases where the face was turn to the side. Here, these characteristics were utilized for the recognition of the face orientations. Moreover, gazing actions was recognized by the curve ratio of the operator's eye lines. Only when the operator gazed to the control computer, the facial orientation was reflected to operate the auto-wheelchair, instead of a joystick interface.

关键词： Face Face recognition Brightness Universal Serial Bus Cameras image processing Cornea

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Adaptation of foveation parameters for target acquisition in noise

Adaptation of foveation parameters for target acquisition in...

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2010 IEEE Southwest symposium on image Analysis and Interpretation, SSIAI 2010

作者： Erickson, Jeffrey E. Dubuque, Shaun F. 21st Century Technologies Austin TX United States

ISBN: (纸本)9781424478026

Foveation is a biologically inspired signal processing method that can substantially reduce the storage and transmission size of imagery without reducing pertinent information content. By varying the spatial resolution, information can be preserved in areas of interest while lower resolution in the periphery reduces image storage size. Herein, we present an adaptive method for adjusting the parameters of foveation to maintain correlation between a target image and an image corrupted with noise. © 2010 IEEE.

关键词： processing

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