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International Conference on Multimedia Technology

作者： Hou, Dewen Wang, Xichang Liu, Jiang Shandong Normal University Key Laboratory for Distributed Computer Software Shandong China Shandong Oumasoft Co. Ltd. Research Institute of Digital Image Processing Shandong China

ISBN: (纸本)9781424478743

This paper makes a study on content-based image retrieval algorithm for document image database. Given a query image the system returns overall similar images in database. For document images, we propose the algorithm based on hierarchical matching tree. First segment an image into several regions with paragraph marking based on paragraph height estimation, and then segment the region into line blocks, the algorithm for document image retrieval by regions and line blocks with hierarchical matching tree is presented. Also we describe the matching model and the texture character strings for indexing. This algorithm is tested through trials. The experiment results indicate this algorithm is accuracy and effective. The response time of retrieval is strongly reduced by image scaling. The efficiency of retrieval is highly valuable in document image database. ©2010 Crown.

关键词： image segmentation

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Age classification based on gait using HMM

Age classification based on gait using HMM

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2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Zhang, De Wang, Yunhong Bhanu, Bir Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100191 China Center for Research in Intelligent Systems University of California Riverside CA 92521 United States

ISBN: (纸本)9780769541099

In this paper we propose a new framework for age classification based on human gait using Hidden Markov Model (HMM). A gait database including young people and elderly people is built. To extract appropriate gait features, we consider a contour related method in terms of shape variations during human walking. Then the image feature is transformed to a lower-dimensional space by using the Frame to Exemplar (FED) distance. A HMM is trained on the FED vector sequences. Thus, the framework provides flexibility in the selection of gait feature representation. In addition, the framework is robust for classification due to the statistical nature of HMM. The experimental results show that video-based automatic age classification from human gait is feasible and reliable. © 2010 IEEE.

关键词： Hidden Markov models

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Evaluating the similarity degree of digital watermarks

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Journal of Information and Computational Science 2010年第6期7卷 1417-1422页

作者： Li, Li Ruan, Liuzhao Zhang, David Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou 310018 China Centre for Multimedia Signal Processing Biometrics Research Centre Hong Kong Polytechnic University Hong Kong

The popular formulas currently used to evaluate the similarity of digital watermarks have serious drawbacks: when the similarity degree is 1, the watermarks are not unique. This paper firstly analyze the drawbacks in the popular formulas. Then proposes a new formula similarity degree, which eliminates the shortcomings of the existing formulas and overcome the lack of uniqueness in theory. From the experiment results the new formula not only does well in evaluating the watermark's similarity degree, also is in good accordance with visual perception. © 2010 Binary Information Press.

关键词： Digital watermarking

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Using Acceleration Data from Smartphones to Interact with 3D Medical Data

Using Acceleration Data from Smartphones to Interact with 3D...

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Brazilian Symposium on computer graphics and image processing (SIBGRAPI)

作者： Mateus de Souza Diego Dias Bispo Carvalho Peter Barth Jeferson Vieira Ramos Eros Comunello Aldo von Wangenheim LAPIX - Laboratory for Image Processing and Computer Graphics Federal University of Santa Catarina Florianópolis Brazil Hochschule RheinMain Wiesbaden Germany

Accelerometers integrated in modern smartphones pave the way to intuitively use gestures for collaboratively controlling interactive applications. Using and holding smartphones has become natural and ensures user acceptance as well as intuitive handling. We focus on using accelerators in several smartphones at the same time to interactively control a medical imaging solution. To this end, we introduce a framework to collect, modify, and distribute acceleration sensor data from multiple smartphones and integrate it with a medical imaging system which results in an environment suitable for e.g. doctors reviewing and explaining diagnostic findings. We performed some experiments to evaluate the usability of this approach and present an ongoing research in adapting the smartphone interface to physical simulation applications.

关键词： Smart phones Acceleration Biomedical imaging Medical services Three dimensional displays Skull Mice

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Testing cross-platform streaming of video games over wired and wireless LANs

Testing cross-platform streaming of video games over wired a...

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24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

作者： Jurgelionis, A. Bellotti, F. De Gloria, A. Laulajainen, J.-P. Fechteler, P. Eisert, P. David, H. Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Converging Networks Laboratory VTT Technical Research Centre of Finland Oulu Finland Computer Vision and Graphics Image Processing Department Heinrich-Hertz-Institute Fraunhofer-Institute for Telecommunications Berlin Germany R and D Department Exent Technologies Ltd. Petach Tikva Israel

ISBN: (纸本)9780769540191

In this paper we present a new cross-platform approach for video game delivery in wired and wireless local networks. The developed 3D streaming and video streaming approaches enable users to access video games on set top boxes and handheld devices that natively are not capable to run PC games. During the development of the distributed gaming system we have faced a number of challenges and problems posed by the hardware and network limitations. In order to solve these problems we have developed a multilevel testing methodology which is based on user assessment and technical measures for the system under development. In this paper we focus on the technical measures and instrumentation that we use for the system's performance measurement and testing. The benefits of our testing methodology are demonstrated through examples from the development and testing work. © 2010 IEEE.

关键词： Human computer interaction

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Colour Adjustment and Specular Removal for Non-uniform Shape from Shading

Colour Adjustment and Specular Removal for Non-uniform Shape...

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Xiaozheng Zhang Yongsheng Gao Terry Caelli Computer Vision and Image Processing Laboratory Griffith University Australia Biosecurity Group Queensland Research Laboratory NICTA Australia

Surface colour changes and specular reflections are two major problems in 3D modelling using shape-from-shading (SFS). This paper proposes to pre-process the input image for a typical SFS algorithm, so that the resultant image has no colour changes and specular reflection. First, a chromaticity-based specular reflection removal algorithm is applied to achieve a pure diffuse (Lambertian) reflected image. Then, a novel chromaticity-based colour adjustment approach is proposed to generate an image without surface colour changes. The standard SFS algorithms can then be applied successfully onto the processed images to produce plausible 3D models. In experiments, the proposed approach was tested on standard SFS datasets with complex surface colours. The experimental results show it's promising to facilitate SFS algorithms to handle SFS problems with more complex surface properties and illumination conditions.

关键词： image color analysis Reflection Pixel Shape Classification algorithms Surface treatment Lighting

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Gender estimation based on physiological features of the face

Gender estimation based on physiological features of the fac...

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： C.H. Ting U.U. Sheikh S.A.R Abu-Bakar Computer Vision Video and Image Processing Research Laboratory Department of Microelectronics and Computer Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Malaysia

In this paper, we present a gender estimation technique that will determine whether a person looking at the camera is a male or female. Several facial features extracted from a face are passed to post-image-processing operations before they are sent to a rule-base classifier. We applied our technique to both static passport-like photos as well as several video sequences consisting of a single face each. Our database also contains images of females wearing headscarf as well as bald men. Our initial results showed a very promising outcome. For static face images, we obtained an accuracy of 100% correct gender estimation for females and 98% for males while for video sequences, the accuracy obtained was 87.5% for females and 70% for males.

关键词： Face Hair image resolution Estimation computers Accuracy

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Adaptive feature selection and extraction approaches for image retrieval based on region

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Journal of Multimedia 2010年第1期5卷 85-92页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Institute of Computer Graphics and Image Processing Dalian Nationalities University Dalian China State Key Laboratory of CAD and CG Zhejiang University Hangzhou China

image retrieval based on region is one of the most promising and active research directions in recent year's CBIR, while region segmentation, feature selection and feature extraction of region are key issues. However, the existing approaches always adopt a uniform approach of segmentation and feature extraction for all images in the same system. In this paper, we propose adaptive image segmentation and feature extraction approach according to different category image for image retrieval system. To improve performance, we propose adaptive segmentation approach according to different category image. Textured image is segmented by Gaussian Mixture Models (GMM), while non-textured image is segmented by our proposed block-based normalized cut. To accurately describe feature of region, we propose weight assignment method for centroid pixel and its neighbor by convolution with normal distribution when image segmentation by GMM. To improve generalization, we propose adaptive number of Fourier descriptors of shape signature which depends on the energy distribution of Fourier descriptors, instead of fixed number by experience. To simply and efficiently describe the spatial relationships of multi-object or multi-region in same image, we apply simplified topological relationships. The experiments demonstrate that proposed approaches are superior to the traditional approaches. © 2010 ACADEMY PUBLISHER.

关键词： Feature extraction

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Interest Point Based Tracking

Interest Point Based Tracking

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International Conference on Pattern Recognition

作者： Werner Kloihofer Martin Kampel Research and Development Image Processing Center Communication Systems GmbH Vienna Austria Computer Vision Laboratory University of Technology Vienna Vienna Austria

ISBN: (纸本)9781424475421

This paper deals with a novel method for object tracking. In the first step interest points are detected and feature descriptors around them are calculated. Sets of known points are created, allowing tracking based on point matching. The set representation is updated online at every tracking step. Our method uses one-shot learning with the first frame, so no offline and no supervised learning is required. Following an object recognition based approach there is no need for a background model or motion model, allowing tracking of abrupt motion and with non-stationary cameras. We compare our method to Mean Shift and Tracking via Online Boosting, showing the benefits of our approach.

关键词： Tracking Feature extraction computer vision Boosting Object recognition Pattern recognition Conferences

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An Omnidirectional Time-of-Flight Camera and its Application to Indoor SLAM

An Omnidirectional Time-of-Flight Camera and its Application...

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International Conference on Control, Automation, Robotics and Vision

作者： Katrin Pirker Matthias Ruther Horst Bischof Gerald Schweighofer Heinz Mayer Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16/II 8010 Graz Austria Institute of Digital Image Processing Joanneum Research GmbH Wastiangasse 6 8010 Graz Austria

ISBN: (纸本)9781424478149

Photonic mixer devices (PMDs) are able to create reliable depth maps of indoor environments. Yet, their application in mobile robotics, especially in simultaneous localization and mapping (SLAM) applications, is hampered by the limited field of view. Enhancing the field of view by optical devices is not trivial, because the active light source and the sensor rays need to be redirected in a defined manner. In this work we propose an omnidirectional PMD sensor which is well suited for indoor SLAM and easy to calibrate. Using a single sensor and multiple planar mirrors, we are able to reliably navigate in indoor environments to create geometrically consistent maps, even on optically difficult surfaces.

关键词： field of view supersonic low altitude missile indoor environment Optical Devices simultaneous localization and mapping TIME OF FLIGHT Sensors

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