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Exploration and search-by-similarity in CBIR

Exploration and search-by-similarity in CBIR

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： M. Cord J. Fournier S. Philipp-Foliguet ETIS (CNRS UMR-8051) University of Cergy-Pontoise ENSEA Cergy-Pontoise France

We deal with content-based image indexing and category retrieval in general databases. When large categories are searched, systems must explore the database. We introduce an interactive retrieval strategy designed for database exploration. the technique is based on a compound query and a dedicated similarity function. the usual strategy based on a similarity score ranking is replaced by a stochastic image selection process. A competition between feature spaces for the similarity measure refinement is also included in the strategy. A quality assessment is realized on a general database of 6000 images in order to illustrate and validate our approach.

关键词： image databases image retrieval Spatial databases Information retrieval Content based retrieval Stochastic processes Data mining Feedback Indexing Quality assessment

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2D-FRFT based rotation invariant digital image watermarking

2D-FRFT based rotation invariant digital image watermarking

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14th IEEE International symposium on Multimedia (ISM)

作者： Gao, Lei Qi, Lin Yang, Shouyi Wang, Yongjin Yun, Tie Guan, Ling Zhengzhou Univ Sch Informat Engn Zhengzhou Peoples R China Hisense Co Ltd Natl Key Lab Qingdao Peoples R China Ryerson Univ Dept Elect & Comp Engn Toronto ON Canada

ISBN: (纸本)9780769548753

the extraction of rotation invariant representation is important for many signal processing problems such as image analysis, computer vision, and pattern recognition. In this paper, we present a systematic analysis of the Two-Dimensional Fractional Fourier Transform (2D-FRFT), and show that under certain conditions, the 2D-FRFT technique possesses the attractive property of rotation invariance. Based on our analysis, we proposed a novel digital image watermarking method which combines 2D chirp signal with the addition and rotation invariant properties of 2D-FRFT to achieve improved robustness and security. the effectiveness of the proposed solution is demonstrated through experiments.

关键词： rotation invariance 2D-FRFT digital image watermarking

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Increasing statistical power in medical image analysis

Increasing statistical power in medical image analysis

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Alexei M. C. Machado Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. the method increases the statistical power of the results by refuting the assumption of independence among variables, while keeping the probability of false positives low. It is based on the spectral graph theory, in which the variables are seen as the vertices of a complete undirected graph and the correlation matrix as the adjacency matrix that weights its edges. By computing the eigenvalues of the correlation matrix, it is possible to obtain valuable information about the dependence levels among the variables of the problem. the method is compared to other available models and its effectiveness illustrated in a case study on the morphology of the human corpus callosum

关键词： Biomedical imaging image analysis Testing image edge detection Probability Graph theory Error correction Medical tests Eigenvalues and eigenfunctions Morphology

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Exploration of motion estimation algorithm in graphics processing environment 12

Exploration of motion estimation algorithm in graphics proce...

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18th brazilian symposium on Multimedia and the Web, WebMedia 2012

作者： Husemann, Ronaldo Lenz, Augusto L. Gobbi, Marco Roesler, Valter Lima, José Valdeni DELET - UFRGS Av. Osvaldo Aranha 103 Porto Alegre - RS Brazil UNIVATES Av. Alberto Tallini 171 Lajeado - RS Brazil II - UFRGS Av. Bento Gonçalves 9500 B. IV Porto Alegre - RS Brazil

ISBN: (纸本)9781450317061

Currently, even considering the recent advances in the microprocessor power computing, high definition multimedia applications still require very complex demands to allow real-time video encoding. Particularly, modern video encoders (MPEG/ITU H.26x series) depend of complex and computationally exhaustive motion estimation algorithms to identify and remove temporal redundancy among consecutive (or not) frames inside a video sequence, as strategy to reduce the final compressed bit rate. In fact, the mechanism of block matching can be considered the most critical encoder algorithm, in terms of computational demands, like it is responsible for searching, in distinct reference frames, for similar pixel blocks related with each one of the input image blocks. the number of required block comparisons for high definition videos represents a clear and important restriction for real-time implementations. this paper introduces an improved strategy of block matching method, which was optimized for multiprocessing execution, mainly focusing in implementation over general purpose graphical processing unit technologies, as the NVidia CUDA® GPUs. the improved motion estimation solution was implemented in the JSVM reference code (scalable version of H.264 video encoder), when it was registered a speed up gain of more than 350% in average for 4CIF videos. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).

关键词： Motion estimation

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Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection

Dealing with Multi-Scale Depth Changes and Motion in Depth E...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Rogerio Feris Matthew Turk Ramesh Raskar University of California Santa Barbara USA Mitsubishi Electric Research Laboratories Inc. USA

Sharp discontinuities in depth, or depth edges, are very important low-level features for scene understanding. Recently, we have proposed a solution to the depth edge detection problem using a simple modification of the capture setup: a multi-flash camera with flashes appropriately positioned to cast shadows along depth discontinuities in the scene. In this paper, we show that by varying illumination parameters, such as the number, spatial position, and wavelength of light sources, we are able to handle fundamental problems in depth edge detection, including multi-scale depth changes and motion. the robustness of our methods is demonstrated through our experimental results in complex scenes

关键词： image edge detection Layout Cameras Lighting Light sources Shape Geometry computer vision Tracking image reconstruction

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Real-time gesture recognition from depth data through key poses learning and decision forests

Real-time gesture recognition from depth data through key po...

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25th Conference on graphics, Patterns and images, SIBGRAPI 2012

作者： Miranda, Leandro Vieira, thales Martinez, Dimas Lewiner, thomas Vieira, Antonio W. Campos, Mario F.M. Mathematics UFAL Brazil Mathematics PUC-Rio Brazil Computer Science UFMG Brazil

ISBN: (纸本)9780769548296

Human gesture recognition is a challenging task with many applications. the popularization of real time depth sensors even diversifies potential applications to end-user natural user interface (NUI). the quality of such NUI highly depends on the robustness and execution speed of the gesture recognition. this work introduces a method for real-time gesture recognition from a noisy skeleton stream, such as the ones extracted from Kinect depth sensors. Each pose is described using a tailored angular representation of the skeleton joints. those descriptors serve to identify key poses through a multi-class classifier derived from Support Vector learning machines. the gesture is labeled on-the-fly from the key pose sequence through a decision forest, that naturally performs the gesture time warping and avoids the requirement for an initial or neutral pose. the proposed method runs in real time and shows robustness in several experiments. © 2012 IEEE.

关键词： Gesture recognition

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On extending collaboration in virtual reality environments

On extending collaboration in virtual reality environments

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： V. theoktisto M. Fairen Departament de Llenguatges i Sistemes Informàtics Universitat Politecnica de Catalunya Barcelona Spain

We characterize the feature superset of collaborative virtual reality environments (CVRE) out of existing implementations, and derive a novel component framework for transforming standalone VR tools into fully fledged multi-threaded collaborative environments. the contributions of our approach rely on cost-effective techniques for loading graphics rendering, user interaction and network communications software components into separate threads, with a top thread for session collaboration. the framework recasts VR tools under a scalable peer-to-peer topology for scene sharing, callback hooks for event broadcasting and multicamera perspectives of avatar interaction. We validate the framework by applying it to our own ALICE VR Navigator. Experimental results show the good performance of our approach in the collaborative inspection of complex models.

关键词： Collaboration Virtual reality Collaborative tools Collaborative software Yarn graphics Rendering (computer graphics) Peer to peer computing Network topology Layout

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From planning of complex bone deformities correction to computer aided operation

From planning of complex bone deformities correction to comp...

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14th IEEE symposium on computer-Based Medical Systems (CBMS 2001)

作者： Krivonos, O Keppler, P Gebhard, F Kinzl, L Hesser, J Maenner, R Univ Ulm Trauma Dept Ulm Germany

ISBN: (纸本)0769510043

the aim of this project is to develop a new approach for correction of bone deformities using a computer-aided surgery tool. We use a measurement based planning of correction on CT data and ultrasound based navigation system for real-time support of operation. We implement a single cut, close and open wedge osteotomy correction of complex three dimensional deformities. In the discussed method virtual reality and image processing techniques allows planning and supporting of the operation on a personal computers. the designed software prototype simplifies significantly the process of osteotomy planning and allows training and assisting a surgeon. the program reduces total time of the operation planning and increase accuracy of correction significantly.

关键词： Bone

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image segmentation by tree pruning

Image segmentation by tree pruning

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： A.X. Falcao F.P.G. Bergo P.A.V. Miranda Institute of Computing State University of Campinas Sao Paulo Brazil

the image foresting transform (IFT) has been proposed for the design of image operators based on connectivity. the IFT reduces image processing problems into a minimum-cost path forest problem in a graph derived from the image. It has been successfully used for image filtering, segmentation, and analysis. In this work, we propose a novel image operator which solves segmentation by pruning trees of the forest. First, an IFT is applied to create an optimum-path forest whose roots are pixels selected inside a desired object. In this forest, the background consists of a few subtrees rooted at pixels on the object's boundary. these boundary pixels are identified and their subtrees are eliminated, such that the remaining forest defines the object. the tree pruning is an effective alternative to situations where image segmentation methods based on competing seeds fail. We present an interactive implementation of the tree-pruning technique, show several examples and discuss some experiments toward fully automatic segmentation.

关键词： image segmentation Pixel image processing image analysis Tree graphs Topology Geophysics computing Filtering Application software computer graphics

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Pattern recognition and image description by suitable textural information

Pattern recognition and image description by suitable textur...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： A.D.A. Araujo L.M.B. Claudino R.A.R. Oliveira S. Jamil Department de Ciência da Computação NPDI/DCC/UFMG Belo Horizonte Minas Gerais Brazil

One of the difficulties of pattern recognition is developing a good evaluation of the classes presented in a scene. To suitably describe those classes it is necessary to find feature spaces which allow them to be distinguished from each other. We propose an unsupervised segmentation/classification technique associated with textural description and report the results obtained, which are quite encouraging.

关键词： Pattern recognition image segmentation Energy resolution image resolution Feature extraction Data mining Neural networks Layout Silicon compounds Brightness

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