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International Workshop on Database and Expert Systems applications

作者： Hieu Hanh Le Thitiporn Lertrusdachakul Tetsutaro Watanabe Haruo Yokota Department of Computer Science Tokyo Institute of Technology Japan Department of Computer Science Graduate School of Information and Engineering Tokyo Institute of Technology Japan Application Lab Ricoh Company Ltd Application Laboratory Software R&D Group Ricoh Company Limited Japan Department of Computer Science Tokyo Institute of Technology Global Scientific Information and Computing Center Tokyo Institute of Technology

Recently, combining a video recording of a presentation along with the digital slides used in it has become popular in e-learning and presentation of archives. For users of the archives, it is useful to preview a digest of such content to grasp the atmosphere and/or an outline of the presentation. This paper proposes a method of automatic digest generation by extracting important scenes from the presentation content. The extracted scenes are chosen based on several factors such as frequency and specificity of words, scene duration and order. Finally, the effectiveness of the proposed methods are evaluated by comparing with testers' answer sets for actual lectures.

关键词： Data mining Speech Proposals Electronic learning Arrays Video recording Software

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Fruit Discrimination on Region Feature

Fruit Discrimination on Region Feature

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yinqing Li Xiaodong Zheng Xiaojie Wang Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou Henan China School of Mechanical Engineering University of Zhengzhou Zhengzhou Henan China

Outdoor discrimination of fruits based on image processing technology is worth studying. Previous studies and technologies are discussed, then a new technology based on region features, which taken tomato as subject, is presented. The discriminating process includes gray transformation, region edge enhancement, region segmentation and other process. 70 images are tested with the technology and the result shows a 74.3 percent accuracy. Reasons for wrong discriminating are then analyzed and solutions are given. Further tests also prove the new technology is applicable to discriminate other similar fruits by adjusting the gray transformation formula.

关键词： Instruments Colored noise Image recognition computer science application software Aerospace industry computer industry Conference management Knowledge management Technology management

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A Signature-based Grid Index Design for RFID Main-Memory Databases

A Signature-based Grid Index Design for RFID Main-Memory Dat...

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IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC

作者： Rong-Jhang Liao Pei-Lun Suei Yung-Feng Lu Tei-Wei Kuo Chun-Sho Lee Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Department of Computer Science and Information Engineering Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan Innovative DigiTech-Enabled Application & Services Institute Institute for Information Industry Taipei Taiwan

A large-scaled RFID application often needs a highly efficient database system in data processing. This research is motivated by the strong demand of an efficient index structure design for main-memory database systems of RFID applications. In this paper, a signature-based grid index structure is proposed for efficient data queries and storage. An efficient methodology is proposed to locate duplicates and to execute batch deletions and range queries based on application domain knowhow. The capability of the design is implemented in an open source main-memory database system H2 and evaluated by realistic workloads of RFID applications.

关键词： Indexes Radiofrequency identification Database systems application software Embedded system Multimedia databases Data processing Hydrogen Ubiquitous computing computer science

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Retrieval of Identical Clothing Images Based on Local Color Histograms

Retrieval of Identical Clothing Images Based on Local Color ...

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International Conference on Convergence Information Technology

作者： Yoo-Joo Choi Ku-Jin Kim Yunyoung Nam We-Duke Cho Department of Computer Science and Application Seoul University of Venture and Information South Korea Department of Computer Engineering Kyungpook National University South Korea Center of Excellence for Ubiquitous System Ajou University South Korea

ISBN: (纸本)9781424432721

In this paper, we present a novel approach to retrieve the person images that contain the identical clothing to a query image from the image set captured by multiple CCTV cameras. In order to measure the similarity of the clothing, we analyze the color information of the clothing area in the image. To find the clothing area, we detect the face area first. The clothing area is found based on the position of the face area. Then, we apply the color quantization to the clothing area. We build six color histograms based on the quantized color for six sub-regions defined in the clothing area. The feature vector for the clothing area is composed by using the color histograms. Similarity between two clothing areas is measured by Euclidean distance between the feature vectors. In the experimental results, our approach shows the better performance compared with the method that uses HSV histogram-based color analysis.

关键词： Image retrieval Clothing Histograms Image color analysis Face detection Area measurement Cameras Image analysis Information analysis Quantization

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Clothing Identification Based on Edge Information

Clothing Identification Based on Edge Information

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Ku-Jin Kim Sun-Mi Park Yoo-Joo Choi Department of Computer Engineering Kyungpook National University South Korea Graduate School of EECS Kyungpook National University South Korea Department of Computer Science & Application Seoul University of Venture and Information South Korea

In this paper, we suggest a method to identify the clothing as one approach for identifying a person in the grayscale image captured by a CCTV camera. We use the edge information of the clothing area for extracting the textural feature of the clothing. The edge filter is applied to the clothing area, and the histograms on the edge values are constructed. The feature vector is composed from the histograms. We used Euclidean distance as a similarity measure between feature vectors, and successfully identified the clothing with 77.8% of success rate.

关键词： Clothing Cameras Histograms Gray-scale Pixel Image analysis Elevators Color Surveillance Filters

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Deciding the Number of Color Histogram Bins for Vehicle Color Recognition

Deciding the Number of Color Histogram Bins for Vehicle Colo...

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

作者： Ku-Jin Kim Sun-Mi Park Yoo-Joo Choi Department of Computer Engineering Kyungpook National University South Korea Graduate School of EECS Kyungpook National University South Korea Corresponding Author Department of Computer Science & Application Seoul University of Venture and Information South Korea

Given vehicle images, we suggest a way to recognize the color of the vehicle contained in the image. The color feature of a vehicle is represented by a color histogram, and we decide the appropriate number of color histogram bins, which mainly affects the successful recognition rate. After generating the histograms, template matching is used to decide the vehicle color. In HSI (hue saturation intensity) color space, experimental results show that the partition of H, S, and I into 8, 4, 4, respectively, achieves the highest success rate up to 88.34%.

关键词： Histograms Vehicles Image recognition Colored noise Cameras Feature extraction Image segmentation Image classification Pixel Image retrieval

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AN INTELLIGENT HIGH AVAILABLE RFID MIDDLEWARE

AN INTELLIGENT HIGH AVAILABLE RFID MIDDLEWARE

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： HSIN MEI CHIEN-CHANG HSU CHUN-SHO LEE DA-GANG LEE Department of Computer Science and Information Engineering Fu-Jen Catholic University 510 Chung Che Innovative DigiTech-Enabled Application & Services Institute Institute for Information Industry ST.

RFID is applied widely In many domains. RFID middleware plays an Important role in extracting tag information from the reader and forward it to the backend application systems. How to avoid system failure and reduce performance degradation in a complex and high volume tags environment Is a critical issue for RFID applications. Many researchers use hardware failover to achieve high availability. Some other researchers apply software agents to perform load balance. However, none of them provide a robust solution to the above problems between RFID reader and middleware. This work proposes an intelligent highly available system to RFID middleware. The system uses RFID repository to provide dynamic allocation In different types of readers and maintain task information of middleware. The system also uses the technologies of agent negotiation, genetic algorithm, and fuzzy computation to support highly available and load balance for RFID middleware. The system is applied to entrance guard and attendance checking application. The experimental result shows that the system can provide a highly available RFID middleware with high degree of tag Identification accuracy.

关键词： RFID middleware High availability Agent negotiation Genetic algorithm Fuzzy computation

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Effects of average luminance level of displayed images, viewers age, and screen illuminance on preferred luminance of LCDs

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Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 2008年第6期62卷 931-936页

作者： Kubota, Satoru Hanehara, Ryo Nakamura, Yoshitomo Nomoto, Kohei Yamakawa, Masaki Faculty of Science and Technology Seikei University 3-3-1 Kichijoji-kitamachi Musashino-shi Tokyo 180-8633 Japan Advanced Technology R and D Center Mitsubishi Electric Corporation 1 Zusho Baba Nagaokakyo-shi Kyoto 617-8550 Japan Industrial Design Center Mitsubishi Electric Corporation 5-1-1 Ofuna Kamakura-shi Kanagawa 247-8501 Japan Computer and Consumer Application Engineering Dept. Renesas Technology Corporation 4-1 Mizuhara Itami-shi Hyogo 664-0005 Japan

We investigated what influences the average luminance level (ALL) of displayed images, screen illuminance, and viewers ages had on the preferred luminance of LCDs. Twenty young subjects (mean age: 21.8) and 24 seniors (mean age: 68.9) adjusted the luminance of a 17-inch 1000: 1 LCD monitor to their preferred levels under different experimental conditions. The results indicate that the preferred luminance of LCDs corresponded to the following formula: Lp=k x ALLα. This is where Lp is the peak white luminance of the LCDs, k is a constant, and ALL is the average luminance level of the displayed images. Here, α is a constant from -0.19 to -0.20 for the seniors and from -0.14 to -0.17 for the young subjects. The influences of age-related changes in vision and ambient lighting on the luminance requirements for LCDs are also discussed. These results can be applied to the design of luminance-control systems for LCDs.

关键词： Liquid crystal displays

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Evolutionary algorithm for a genetic robot’s personality

Evolutionary algorithm for a genetic robot’s personality

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Kang-Hee Lee Hyun-Sik Shim Woo-Sup Han Kwang-Choon Kim Jong-Hwan Kim Fundamental Technology Team Mechatronics & Manufacturing Technology Center Corporate Technology Operations Samsung Electronics Company Limited South Korea Application Technology Laboratory Telecommunication Research and Development Center Telecommunication Network Business Samsung Electronics Company Limited South Korea Faculty of Department of Electrical Engineering and Computer Science Korea Advanced Institute of Science and Technology South Korea

This paper proposes a new concept of the genetic robot which has its own robot genome, in which each chromosome consists of many genes that contribute to defining the robotpsilas personality. The large number of genes also allows for a highly complex system, however it becomes increasingly difficult and time-consuming to ensure reliability, variability and consistency for the robotpsilas personality while manually initializing values for the individual genes. To overcome this difficulty, this paper proposes an evolutionary algorithm for a genetic robotpsilas personality (EAGRP). EAGRP evolves a gene pool that customizes the robotpsilas genome so that it closely matches a simplified set of features desired by the user. It does this using several new techniques. It acts on a 2 dimensional individual upon which a new masking method, the Eliza-Meme scheme, is used to derive a plausible individual given the restricted preference settings desired by the user. The proposed crossover method allows reproduction for the 2-dimensional genome. Finally, the evaluation procedure for individuals is carried out in a virtual environment using tailored perception scenarios.

关键词： Robots

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Multiplicative versus Additive Bias Field Models for Unified Partial-Volume Segmentation and Inhomogeneity Correction in Brain MR Images

Multiplicative versus Additive Bias Field Models for Unified...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Su Wang Lihong Li Hongbing Lu Zhengrong Liang Department of Radiology State University of New York Stony Brook NY USA Department of Engineering Science and Physics College of Staten Island City University of New York Staten Island NY USA Department of Computer application Fourth Military Medical University Shaanxi China Department of Radiology and Physics State University of New York Stony Brook NY USA

It has been widely accepted that for brain MR images, both the image density inhomogeneity (slowly-varying intensity changes across the field of view) and partial-volume effect (PVE) (more than one tissue type present in a single voxel) considerably reduce the accuracy and reliability of quantitative analysis for various clinical purposes. This paper presents a unified expectation-maximization (EM) approach, where PVE and intensity inhomogeneity are combined together into a built-in-one statistical model in additive and multiplicative formats. It assumes that each tissue type follows a conditionally-independent normal distribution, based on which the summation of all tissue contributions multiplied or added by the bias term leads to mean density value at each voxel. Meanwhile, the summation of all the tissue mixtures, which is unobservable but could be estimated via EM framework (many-to-one mapping), multiplied or added by the bias term would lead to the observed image density at each voxel. In doing so, both the inhomogeneity and tissue mixtures are updated voxel-by-voxel until the convergence of a stable solution. Comprehensive tests on simulated brain MR images strongly demonstrated the feasibilities of additive/multiplicative bias models and the effectiveness of the unified EM approach. In addition, additive and multiplicative bias field models reflect advantages in terms of stability and robustness.

关键词： Brain modeling Image segmentation Frequency estimation Random processes Gaussian distribution Image analysis Robust stability Magnetic resonance imaging Biomedical imaging Radiology

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