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The design and realization of a wearable embedded device for dietary and physical activity monitoring

The design and realization of a wearable embedded device for...

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3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010

作者： Zhang, Hong Li, Yuecheng Hackworth, Steven A. Yue, Yaofeng Li, Chengliu Yan, Guifang Sun, Mingui Image and Pattern Recognition Lab. School of Astronautics Beihang University 100191 China Departments of Neurosurgery Electrical and Computer Engineering and Bioengineering University of Pittsburgh Pittsburgh PA 15213 United States Department of Electrical and Computer Engineering University of Pittsburgh United States

ISBN: (纸本)9781424460441

This paper introduces the design and realization of a wearable device for dietary and physical activity monitoring. This design is based on technological advances in microelectronics and our previous prototypes which have verified the system concept. From our results, it is shown that the device meets all functional requirements as well as size and power consumption constraints essential to participants' use. With further technological development, we believe that the size of the system can be reduced and accurate and objective dietary assessments will become possible. ©2010 IEEE.

关键词： Wearable technology

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Compact codebook generation towards scale-invariance

Compact codebook generation towards scale-invariance

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Pacific Rim Symposium on Image and Video Technology

作者： Liu, Si Yan, Shuicheng Xu, Changsheng Lu, Hanqing National Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore China-Singapore Institute of Digital Media Singapore 119613 Singapore

ISBN: (纸本)9780769542850

In this paper, we present a novel visual codebook learning approach towards compactness and scale-invariance for dense patch image encoding. Firstly, each image is described as a bag of orderless gridding local patches, each of which is expressed in three scales. Then a unified objective function is proposed to simultaneously enforce the codebook compactness and select the optimal scale for each local patch, and a convergency provable iterative procedure is utilized for optimization. A direct advantage of the new codebook is that each local patch is essentially described by its best scale, and thus shares certain characteristic of SIFT yet not constrained to any salient point detectors. The experiments on PASCAL 07 dataset validate the effectiveness and efficiency of our proposed method for image classification task. © 2010 IEEE.

关键词： Image classification

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A generic framework for event detection in various video domains

A generic framework for event detection in various video dom...

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18th ACM International Conference on Multimedia ACM Multimedia 2010, MM'10

作者： Zhang, Tianzhu Xu, Changsheng Zhu, Guangyu Liu, Si Lu, Hanqing National Lab. of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100190 China China-Singapore Institute of Digital Media Singapore 119615 Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore

ISBN: (纸本)9781605589336

Event detection is essential for the extensively studied video analysis and understanding area. Although various approaches have been proposed for event detection, there is a lack of a generic event detection framework that can be applied to various video domains (e.g. sports, news, movies, surveillance). In this paper, we present a generic event detection approach based on semi-supervised learning and Internet vision. Concretely, a Graph-based Semi-Supervised Multiple Instance Learning (GSSMIL) algorithm is proposed to jointly explore small-scale expert lab.led videos and large-scale unlab.led videos to train the event models to detect video event boundaries. The expert lab.led videos are obtained from the analysis and alignment of well-structured video related text (e.g. movie scripts, web-casting text, close caption). The unlab.led data are obtained by querying related events from the video search engine (e.g. YouTube) in order to give more distributive information for event modeling. A critical issue of GSSMIL in constructing a graph is the weight assignment, where the weight of an edge specifies the similarity between two data points. To tackle this problem, we propose a novel Multiple Instance Learning Induced Similarity (MILIS) measure by learning instance sensitive classifiers. We perform the thorough experiments in three popular video domains: movies, sports and news. The results compared with the state-of-the-arts are promising and demonstrate our proposed approach is performance-effective. © 2010 ACM.

关键词： Sports

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MagiWrite: Towards touchless digit entry using 3D space around mobile devices

MagiWrite: Towards touchless digit entry using 3D space arou...

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12th International Conference on Human-computer Interaction with Mobile Devices and Services, Mobile HCI2010

作者： Ketabdar, Hamed Roshandel, Mehran Yüksel, Kamer Ali Quality and Usability Lab. Deutsche Telekom Laboratories TU Berlin Ernst-Reuter-Platz 7 10587 Berlin Germany Deutsche Telekom Laboratories Ernst-Reuter-Platz 7 10587 Berlin Germany Computer Vision and Pattern Analysis Lab. Sabanci University Istanbul Turkey

ISBN: (纸本)9781605588353

In this work, we present a new approach for text (mainly digit) entry based on digit shaped gestures created in 3D space around a mobile device. Some new mobile devices such as Apple iPhone 3GS and Google Android are equipped with magnetic (compass) sensor. The main idea is to influence the magnetic sensor using a magnet taken in hand. The user draws (writes) digits in the 3D space around the device using the magnet taken in hand. Movement of the magnet changes temporal pattern of magnetic field around the device which is sensed and registered by the magnetic (compass) sensor. The registered pattern is then compared against already recorded templates for different digits. Such a text (digit) entry approach can be especially useful for small mobile devices in which it is hard to operate small buttons or touch screen. Using our technique, the text entry space extends beyond physical boundaries of the device. A demonstrator for this approach is implemented on Apple iPhone 3GS platform. It demonstrates registering a few templates for different digits, and recognizing digits written in the space around the device.

关键词： Magnets

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Annealed SMC samplers for Dirichlet process mixture models

Annealed SMC samplers for Dirichlet process mixture models

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2010 20th International Conference on pattern recognition, ICPR 2010

作者： Ulker, Yener Gunsel, Bilge Cemgil, Ali Taylan Multimedia Signal Proc.and Pattern Recognition Lab. Dept. of Electronics and Communications Eng. Istanbul Technical University 34469 Maslak Istanbul Turkey Dept. of Computer Eng. Bogazici University 34342 Bebek Istanbul Turkey

ISBN: (纸本)9780769541099

In this work we propose a novel algorithm that approximates sequentially the Dirichlet Process Mixtures (DPM) model posterior. The proposed method takes advantage of the Sequential Monte Carlo (SMC) samplers framework to design an effective annealing procedure that prevents the algorithm to get trapped in a local mode. We evaluate the performance in a Bayesian density estimation problem with unknown number of components. The simulation results suggest that the proposed algorithm represents the target posterior much more accurately and provides significantly smaller Monte Carlo error when compared to particle filtering. © 2010 IEEE.

关键词： Mixtures

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引用

International Workshop on Cognitive Information Processing

作者： Millán-Giraldo, M. Duin, Robert P.W. Sánchez, J.S. Institute of New Imaging Technologies Dept. de Lenguajes y Sistemas Informticos Universitat Jaume I Av. Sos Baynat s/n 12071 Castellón de la Plana Spain Pattern Recognition Lab. Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology P.O. Box 5031 2600 GA Delft Netherlands

ISBN: (纸本)9781424464593

In many real world data applications, objects may have missing attributes. Conventional techniques used to classify this kind of data are represented in a feature space. However, usually they need imputation methods and/or changing the classifiers. In this paper, we propose two classification alternatives based on dissimilarities. These techniques promise to be appealing for solving the problem of classification of data with missing attributes. Results obtained with the two approaches outperform the results of the techniques based in the feature space. Besides, the proposed approaches have the advantage that they hardly require additional computations like imputations or classifier updating. © 2010 IEEE.

关键词： Classification (of information)

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Image co-clustering with multi-modality features and user feedbacks 09

Image co-clustering with multi-modality features and user fe...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Chen, Yanhua Dong, Ming Wan, Wanggen Machine Vision and Pattern Recognition Lab. Department of Computer Science Wayne State University Detroit MI 48202 United States School of Communication and Info. Eng. Shanghai University Shanghai 200072 China

ISBN: (纸本)9781605586083

In Content-based Image Retrieval (CBIR) research, advanced technology that fuses the heterogeneous information into image clustering has drawn extensive attention recently. However, using multiple features for co-clustering images without any user feedbacks is a challenging problem. In this paper, we propose a Semi-Supervised Non-negative Matrix Factorization (SS-NMF) framework for image co-clustering. Our method computes new relational matrices by incorporating user provided feedbacks into images through simultaneous distance metric learning and feature selection for different low-level visual features. Using an iterative algorithm, we perform tri-factorizations of the new matrices to infer image clusters. Theoretically, we show the convergence and correctness of SS-NMF co-clustering and the advantages of SS-NMF co-clustering over existing approaches. Through extensive experiments conducted on image data sets, we demonstrate that SS-NMF provides an effective and efficient solution for image co-clustering. Copyright 2009 ACM.

关键词： Matrix algebra

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Balancing usability and security in a video CAPTCHA 09

Balancing usability and security in a video CAPTCHA

引用

5th Symposium On Usable Privacy and Security, SOUPS 2009

作者： Kluever, Kurt Alfred Zanibbi, Richard Google Inc. 76 Ninth Ave. New York NY 10011 United States Document and Pattern Recognition Lab. Department of Computer Science Rochester Institute of Technology Rochester NY 14623 United States

ISBN: (纸本)9781605587363

We present a technique for using content-based video lab.ling as a CAPTCHA task. Our CAPTCHAs are generated from YouTube videos, which contain lab.ls (tags) supplied by the person that uploaded the video. They are graded using a video's tags, as well as tags from related videos. In a user study involving 184 participants, we were able to increase the human success rate on our video CAPTCHA from roughly 70% to 90%, while keeping the success rate of a tag frequency-based attack fixed at around 13%. Through a different parameterization of the challenge generation and grading algorithms, we were able to reduce the success rate of the same attack to 2%, while still increasing the human success rate from 70% to 75%. The usability and security of our video CAPTCHA appears to be comparable to existing CAPTCHAs, and a majority of participants (60%) indicated that they found the video CAPTCHAs more enjoyable than traditional CAPTCHAs in which distorted text must be transcribed.

关键词： Grading

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Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering 08

Graph theoretical framework for simultaneously integrating v...

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17th International Conference on World Wide Web 2008, WWW'08

作者： Rege, Manjeet Dong, Ming Hua, Jing Machine Vision Pattern Recognition Lab. Department ot Computer Science Wayne State University Detroit MI 48202 United States Graphics and Imaging Lab. Department ot Computer Science Wayne State University Detroit MI 48202 United States

ISBN: (纸本)9781605580852

With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering has emerged as an important application. Some of the initial efforts along this direction revolved around clustering Web images based on the visual features of images or textual features by making use of the text surrounding the images. However, not much work has been done in using multimodal information for clustering Web images. In this paper, we propose a graph theoretical framework for simultaneously integrating visual and textual features for efficient Web image clustering. Specifically, we model visual features, images and words from surrounding text using a tripartite graph. Partitioning this graph leads to clustering of the Web images. Although, graph partitioning approach has been adopted before, the main contribution of this work lies in a new algorithm that we propose - Consistent Isoperimetric High-order Co-clustering (CIHC), for partitioning the tripartite graph. Computationally, CIHC is very quick as it requires a simple solution to a sparse system of linear equations. Our theoretical analysis and extensive experiments performed on real Web images demonstrate the performance of CIHC in terms of the quality, efficiency and scalab.lity in partitioning the visual feature-image-word tripartite graph.

关键词： Digital storage

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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC

GEMI: A high performance and high flexibility memory interfa...

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International Conference on computer Science and Software Engineering, CSSE 2008

作者： Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769533360

Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several different interface-timings of several different sorts of memories. And the scheduling scheme of data streams for multi-master and multi-outstanding requests situation in complex SoC should be considered carefully, too. This paper introduces a novel general external memory interface (GEMI) architecture for the high performance and high flexibility memory interface. Several techniques and methods, i.e. data and command buffers based on asynchronous FIFO, optimized bank management, multi-port access scheduler, request reorder unit, are proposed in this paper for fulfilling the requirements mentioned above. Some techniques are specially proposed for data streams scheduling in complex SoC. At the end of the paper, the simulation and tape-out results are provided. The whole implementation of architecture is proven to be not only functional and efficient, but also flexible and reusable by simulation and silicon verification. © 2008 IEEE.

关键词： Scheduling

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