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检索条件"任意字段=14th Brazilian Symposium on Computer Graphics and Image Processing"

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Projection-Based image Retrieval Using Class-Specific Metrics

Projection-Based Image Retrieval Using Class-Specific Metric...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Paulo Joia Erick Gomez Nieto Glenda Botelho Joao do Espirito Santo Batista Neto Afonso Paiva Luis Gustavo Nonato ICMC/SME Universidade de Sáo Paulo Sao Carlos Sao Paulo Brazil

Content-based image classification/retrieval based on image descriptors has become an essential component in most database systems. However, most existing systems do not provide mechanisms that enable interactive multi-objective queries, hampering the user experience. In this paper we present a novel methodology capable of accomplishing multi-objective searches while still being interactive. Our approach relies on a combination of class-specific metrics and multidimensional projection to devise an effective and interactive image retrieval system. Besides allowing visual exploration of image data sets, the provided results and comparisons show that the proposed approach outperforms existing methods, turning out to be a very attractive alternative for managing image data sets.

关键词： Measurement Visualization Feature extraction image retrieval Helicopters image color analysis Pipelines

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Combinatorial Laplacian image Cloning

Combinatorial Laplacian Image Cloning

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Alex Cuadros Vargas Luis Gustavo Nonato Valerio Pascucci School of Computer Cience San Pablo Catholic University Arequipa Peru ICMC/SME Universidade de Sáo Paulo Sao Carlos Sao Paulo Brazil SCI Institute University of Utah Salt Lake USA

Seamless image cloning has become one of the most important editing operation for photomontage. Recent coordinate-based methods have lessened considerably the computational cost of image cloning, thus enabling interactive applications. However, those techniques still bear severe limitations as to concavities and dynamic shape deformation. In this paper we present novel methodology for image cloning that turns out to be highly efficient in terms of computational times while still being more flexible than existing techniques. Our approach builds on combinatorial Laplacian and fast Cholesky factorization to ensure interactive image manipulation, handling holes, concavities, and dynamic deformations during the cloning process. the provided experimental results show that the proposed technique outperforms existing methods in requisites such as accuracy and flexibility.

关键词： Cloning Laplace equations Mesh generation Vectors Shape Pipelines Spirals

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Kernel Multilayer Perceptron

Kernel Multilayer Perceptron

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： thomas Rauber Karsten Berns Department of Computer Science University of Espírito Santo Vitoria Espirito Santo Brazil Robotics Research Lab Department of Computer Science University of Kaiserslautern Kaiserslautern Germany

We enhance the Multi layer Perceptron to map a feature vector not only from the original d-dimensional feature space, but from an intermediate implicit Hilbert feature space in which kernels calculate inner products. the kernel substitutes the usual inner product between weight vectors and the input vector (or the feature vector of the hidden layer). the objective is to boost the generalization capability of this universal function approximator even more. Classification experiments with standard Machine Learning data sets are shown. We are able to improve the classification accuracy performance criterion for certain kernel types and their intrinsic parameters for the majority of the data sets.

关键词： Kernel Vectors Training Multilayer perceptrons Support vector machines Accuracy Hilbert space

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Generalization of Iterative Restoration Techniques for Super-Resolution

Generalization of Iterative Restoration Techniques for Super...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Marcia Aguena Nelson Mascarenhas Departamento de Computação Universidade Federal de São Carlos Sao Carlos Sao Paulo Brazil

the resolution enhancement of an image is always desirable, for almost all situations, but mainly if the image has the purpose of visual analysis. the hardware development for increasing the image resolution at its capture still has a higher cost than the algorithm solutions for super-resolution (SR). Like image restoration, super-resolution is also an ill-conditioned inverse problem. this work analyses the iterative restoration methods (Van Cittert, Tikhonov-Miller and Conjugate Gradient) which propose solutions for the ill-conditioning problem and compares them with the IBP method (Iterative Back Projection) proposed by Irani-Peleg [1] and Komatsu et al. [2]. the analysis of the found similarities is the basis of a generalization, that other iterative restoration methods can have their properties adapted, such as regularization of the ill-conditioning, noise reduction and other degradations and the increase of the convergence rate can be incorporated to the techniques of super-resolution.

关键词： Strontium image restoration Convergence Noise Iterative methods Spatial resolution

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A New Method for Cutting Splats of Models with Sharp Features

A New Method for Cutting Splats of Models with Sharp Feature...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Rafael Ivo Creto Vidal Joaquim Cavalcante-Neto Departamento de computação CRAb UFC Fortaleza Brazil

Surface splatting is a fast rendering technique for point-based models that usually delivers good-quality renderings. However, the intrinsic characteristic of this technique is the treatment of points as if they were discs. that requires special processing near sharp edges and corners in order to prevent rendering artifacts from appearing. In this work, we present a clever way of clipping splats near sharp edges and corners by a classification of neighboring splats, which belong to distinct intersecting surfaces. those neighboring splats that take part in the clipping process are called clip partners. their concavity or convexity with respect to one another are determined, as well as their relation with the clipped splat. In our approach, there is no need of distance computations nor of other complex operations during the rendering process, since the classification can be performed offline during a pre-processing phase. the examples presented in this paper demonstrate the importance of correctly clipping splats for high quality rendering.

关键词： Silicon Equations Vectors Mathematical model Rendering (computer graphics) Adaptation models Surface treatment

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Algorithm and hardware design of a fast intra-frame mode decision module for H.264/AVC encoders 11

Algorithm and hardware design of a fast intra-frame mode dec...

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24th symposium on Integrated Circuits and Systems Design, SBCCI2011

作者： Palomino, Daniel Corrêa, Guilherme Diniz, Cláudio Bampi, Sérgio Agostini, Luciano Susin, Altamiro Infomatics Institute Federal University of Rio Grande Do Sul Porto Alegre Brazil Telecomunications Institute University of Coimbra Coimbra Portugal Federal University of Pelotas Pelotas Brazil

ISBN: (纸本)9781450308281

In the Rate-Distortion Optimization (RDO) technique for video encoding, the process of choosing the best prediction mode is performed through exhaustive executions of the whole encoding process, which increases significantly the encoder computational complexity. Considering H.264/AVC intra-frame prediction there are several modes to encode each macroblock (MB). In order to reduce the number of calculations necessary to determine the best intra-frame mode, this work proposes an algorithm and the hardware design for a fast intra-frame mode decision module for H.264/AVC encoders. the application of the proposed algorithm reduces in more than ten times the number of encoding iterations for choosing the best intra-frame mode when compared with RDO-based decision, at the cost of relatively small bit-rate increase (5% in average) and image quality loss (0.2 dB in PSNR). the architecture takes 36 clock cycles to perform the intra-frame decision for one MB and it achieved an operation frequency of 130 MHz when synthesized for TSMC 0.18μm, being able to process more than 400 HD1080p frames per second. With this approach, we achieved one order-of-magnitude performance improvement compared with RDO-based approaches, which is very important not only from the performance but also from the energy consumption perspective when considering the need to improve the video encoding efficiency for battery operated devices. Compared with the best previous results reported, the implemented architecture achieve a complexity reduction of five times, a processing capability increase of 14 times and a reduction in the number of clock cycles per MB of 11 times. © 2011 ACM.

关键词： image coding

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Colorization and Illumination of 2D Animations Based on a Region-Tree Representation

Colorization and Illumination of 2D Animations Based on a Re...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Renata Nascimento Fabiane Queiroz Allan Rocha Tsang Ing Ren Vinicius Mello Adelailson Peixoto Department of Mathematics PUC-Rio Rio de Janeiro Brazil Department of Computer Science UFPE Pernambuco Brazil Department of Computer Science PUC-Rio Rio de Janeiro Brazil Institute of Mathematics UFBA Salvador Brazil Institute of Mathematics UFAL Maceio Brazil

Colorization and illumination are key processes for creating animated cartoons. computer assisted methods have been incorporated in animation/illustration systems to reduce the artists' effort. this paper presents a new strategy for illumination and colorization of 2D drawings based on a region-tree. Starting from a hand-drawn cartoon, it extracts geometric and topological information and builds a tree structure, ensuring independence among parts of the drawing, such as curves and regions. Based on this structure and its attributes, a colorization method that propagates through consecutive frames of animation is proposed, together with an interpolation method that accurately computes a normal mapping for the illumination process. Different operators on curve and region attributes can be applied independently, obtaining different rendering effects.

关键词： Lighting Animation Vectors Interpolation image color analysis three dimensional displays Rendering (computer graphics)

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Fast QR Code Detection in Arbitrarily Acquired images

Fast QR Code Detection in Arbitrarily Acquired Images

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luiz Belussi Nina Hirata Department of Computer Science Institute of Mathematics and Statistics University of Säo Paulo Sao Paulo Brazil

the detection of QR codes, a type of 2D barcode, as described in the literature consists merely in the determination of the boundaries of the symbol region in images obtained with the specific intent of highlighting the symbol. However, many important applications such as those related with accessibility technologies or robotics, depends on first detecting the presence of a barcode in an environment. We employ Viola-Jones rapid object detection framework to address the problem of finding QR codes in arbitrarily acquired images. this framework provides an efficient way to focus the detection process in promising regions of the image and a very fast feature calculation approach for pattern classification. An extensive study of variations in the parameters of the framework for detecting finder patterns, present in three corners of every QR code, was carried out. Detection accuracy superior to 90%, with controlled number of false positives, is achieved. We also propose a post-processing algorithm that aggregates the results of the first step and decides if the detected finder patterns are part of QR code symbols. this two-step processing is done in real time.

关键词： Training Prototypes Boosting Object detection Feature extraction Face detection Decoding

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the Development of a Tool for the Air Data System Calibration Flight Tests Campaign Using image processing

The Development of a Tool for the Air Data System Calibratio...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Luiz Eduardo Vasconcelos Nelson Leite Carlos Pinheiro Ot´vio Carpinteiro Instituto de Pesquisas e Ensaios em Voo (IPEV) São José dos Campos SP Brazil Universidade Federal de Itajubá (UNIFEI) Itajubá MG Brazil

the first Flight Test Campaign (FTC) carried out for an experimental aircraft is the calibration of its Air Data System (ADS). In this case, the altitude and airspeed measurements of the aircraft are provided by both anemometric along with the Flight Tests Instrumentation (FTI) systems that are corrupted by installation errors. therefore, a tool was developed using techniques such as image processing in order to minimize these errors. A tool is described for detecting the position of the aircraft during a FTC through a video of the high-speed camera. the tool detects the aircraft and reference points, calculates altitude and airspeed of the aircraft and determines validity of test point in FTC. the preliminary tests of this tool showed satisfactory results compared to the current method. this paper will discuss such scenario, its preliminary development and the results through performed flights with EMBRAER Jet XAT-26 aircraft and HELIBRAS HB-350L-1 helicopter.

关键词： Aircraft Cameras Calibration Streaming media Aerospace electronics image edge detection Telemetry

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Combining Classifiers: From the Creation of Ensembles to the Decision Fusion

Combining Classifiers: From the Creation of Ensembles to the...

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Tutorials of the brazilian symposium on computer graphics and image processing (SIBGRAPI TUTORIALS)

作者： Moacir P. Ponti Jr. Institute of Mathematical and Computer Sciences (ICMC) University of São Paulo (USP) Sao Carlos Sao Paulo Brazil

Multiple classifier combination methods can be considered some of the most robust and accurate learning approaches. the fields of multiple classifier systems and ensemble learning developed various procedures to train a set of learning machines and combine their outputs. Such methods have been successfully applied to a wide range of real problems, and are often, but not exclusively, used to improve the performance of unstable or weak classifiers. In this tutorial are presented the basic terminology of the field, a discussion on the effectiveness of combination algorithms, the diversity concept, methods for the creation of an ensemble of classifiers, approaches to combine the decisions of each classifier, the recent studies and also possible future directions.

关键词： Training Bagging Boosting Pattern recognition Accuracy Silicon

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