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检索条件"任意字段=International Conference on Signal-Image Technology and Internet-Based Systems"

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Proceedings - 2012 international conference on Computer Science and Electronics Engineering, ICCSEE 2012

Proceedings - 2012 International Conference on Computer Scie...

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2012 international conference on Computer Science and Electronics Engineering, ICCSEE 2012

ISBN: (纸本)9780769546476

The proceedings contain 485 papers. The topics discussed include: analysis on environmental cost internalization effect - a study based on CO2 emission;pricing decision theory and the empirical research on international carbon emissions trading;research on science and technology awards evaluation system based on multi-agent;study on proportional-derivative controller for a class of chaotic financial systems;numerical simulations of temperature field of coal-bed methane with heat injection based on ANSYS;the Lagrange interpolation of trapezium fuzzy numbers;personalized learning resources recommendation model based on transfer learning;one of aerial image geometric correction methods based on 3-D projection;research on fault diagnosis of mixed-signal circuits based on genetic algorithms;analysis on analytic arithmetic of oriented warhead's contact of missile and target;and an effective pattern matching algorithm for intrusion detection.

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Proceedings - 2012 international conference on Computer Science and Electronics Engineering, ICCSEE 2012

Proceedings - 2012 International Conference on Computer Scie...

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2012 international conference on Computer Science and Electronics Engineering, ICCSEE 2012

ISBN: (纸本)9780769546476

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Food Volume Estimation in a Mobile Phone based Dietary Assessment System

Food Volume Estimation in a Mobile Phone Based Dietary Asses...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Md Hafizur Rahman Qiang Li Mark Pickering Michael Frater Deborah Kerr Carol Bouchey Edward Delp School of Engineering & Information Technology The University of New South Wales Canberra Australia School of Public Health Curtin University Perth Australia University of Hawaii Cancer Center University of Hawaii Hawaii USA School of Electrical and Computer Engineering Purdue University West Lafayette USA

There is now convincing evidence that poor diet, in combination with physical inactivity are key determinants of an individual's risk of developing chronic diseases, such as obesity, cancer, cardiovascular disease or diabetes. Assessing what people eat is fundamental to establishing the link between diet and disease. Food records are considered the best approach for assessing energy intake. However, this method requires literate and highly motivated subjects and adolescents and young adults are the least likely to undertake food records. The ready access of the majority of the population to mobile phones has opened up new opportunities for dietary assessment. In such systems, the camera in the mobile phone is used for capturing images of food consumed and these images are then processed to automatically estimate the nutritional content of the food. A vital step in this process is the estimation of the volume of the food in the image. In this paper we propose a food volume estimation approach which requires only a pair of stereo images to be captured. Our experimental results show that the proposed approach can provide an accurate estimate of the volume of typical food items in a passive manner without the need for manual fitting of 3D models to the food items.

关键词： Cameras Volume measurement Solid modeling Mobile handsets Estimation Calibration Transmission line matrix methods

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Compressed sensing based on the contourlet transform for image processing

Compressed sensing based on the contourlet transform for ima...

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2012 international conference on Communications, signal Processing, and systems, CSPS 2012

作者： Lei, Qing Zhang, Bao-Ju Wang, Wei Department Physics and Electronic Information Tianjin Normal University Tianjin China

ISBN: (纸本)9781461458029

In the compressed sensing, the sparse image is the prior condition. Contourlet transform is a non-adaptive multi-directional and multi-scale geometric analysis method, which could represent the image with contour and texture-rich more effective and has strong capability of nonlinear approximation. In this chapter, based on the advantages of Contourlet transform and the theory compressed sensing, an improved compressed sensing algorithm based on Contourlet transform was proposed. The improved compressed sensing algorithm only measured the high-pass Contourlet coefficients of the image but preserving the low-pass Contourlet coefficients. Then the image could be reconstructed by the inverse Contourlet transform. Compared with the traditional wavelet transformation in the compressed sensing image application, simulation results demonstrated that the proposed algorithm improved the quality of the recovered image significantly. For the same measurement number, the PSNR of the proposed algorithm was improved about 1.27-2.84 dB. © 2012 Springer Science+Business.

关键词： Contourlet transform

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A Population based Rewarding for Reinforcement Learning to Control Genetic Algorithms

A Population Based Rewarding for Reinforcement Learning to C...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Yoshitaka Sakurai Setsuo Tsuruta School of Information Environment Tokyo Denki University Chiba Japan

The effectiveness of Genetic Algorithms (GA) heavily depends on the appropriate setting of its parameters. Moreover, optimal values for these parameters depend on both the type of GA and the application problem pattern and must be developed for each particular setting one by one. Therefore it requires special expertise and many experiments to validate the parameter setting. In order to solve this problem, a new method called "adaptive parameter control" was proposed, which adaptively controls parameters of an evolutionary algorithm. However, since this method just increases the selection probability of a search operator that generated a well evaluated individual, this is apt to be a shortsighted optimization method. On the contrary, a method is proposed to realize longsighted optimal parameter control of GA using Reinforcement Learning (RL). However, this method does neither consider the calculation cost of search operators nor population search characteristics of GA. Here, we propose a refined RL method for parameter control, in which (1) the reward decision rules are elaborately incorporated under the consideration of GA's population search characteristics and (2) the calculation cost of the search operator is taken into account. It is expected that this method can efficiently learn parameters to optimally select search operators of GA for approximately solving Traveling Salesman Problems (TSPs).

关键词： Genetic algorithms Sociology Statistics Equations Mathematical model Learning Genetics

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Ontology Change Estimation based on Axiomatic Semantic and Entropy Measure

Ontology Change Estimation Based on Axiomatic Semantic and E...

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international IEEE conference on signal-image Technologies and internet-based System

作者： Mamadou Bousso Ousmane Sall Mouhamadou Thiam Moussa Lo El Hadji Bassirou Toure Département de Management Informatisé des Organisations - UFR Sciences Economiques et Sociales Univcrsité de THIES THIES Senegal Départcmcnt Informatique - UFR Sciences Et Technologies Université de THIES THIES Senegal Laboratoire d’ Analyse Numérique et d’Informatique – UFR Sciences Appliquées et Technologie Université Gaston Berger SAINT-LOUIS Senegal

Ontology is by definition explicit and shared conceptualization of a domain, its life cycle is then marked by sequences of change operations in order to adapt changes in the renewal of the domain. Each operation leading to a state of inconsistency on a target component is therefore susceptible to change the status of other components and therefore the state of the ontology at the macroscopic level through the effect of disorder induced on components as a tendency to the disorganization of the ontological system also called entropy. In this paper, by using an approach combining entropy measure of Shannon and previous work on ontology change operations satisfiability, we propose a methodology for measuring entropy issued from a change operation. The essential issue is how to measure the average information provided by the knowledge of the state of a component after change operation resulting in change impacts on the overall consistency of the ontology.

关键词： Ontologies Semantics Entropy Context Analytical models Loss measurement Taxonomy

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Personalized Video Summarization based on Behavior of Viewer

Personalized Video Summarization Based on Behavior of Viewer

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international IEEE conference on signal-image Technologies and internet-based System

作者： Atsuo Yoshitaka Kazuya Sawada School of Information Science Japan Advanced Institute of Science and Technology Asahidai Ishikawa Japan DENSO Corp

Recent progress of video recording hardware such as HDD video recorders or PCs with TV tuner enabled us to store hundreds or even thousands of hours of programs, and view any one of them on demand. In accordance with the growth of the capacity of video storage, efficient scheme of video access is studied, shot or scene boundary detection, content visualization for video browsing, content-based access based on annotation, content-based summarization, etc. Video summarization is one of the promising approaches for effective comprehension of video contents, which is obtained by detecting informative segments of video data and concatenate them to show as one consecutive video. Previous studies on video summarization are focused on detecting informative segments which correspond to attractive and/or impressive scenes based on textual annotation and audio-visual cues which are correlated to important/informative events. This method works well if we assume that the viewers of the summarized contents have the same purpose in summary viewing and the sense of eimportance' is the same regardless of viewers. However, this approach cannot cope with a case where criteria on importance differ depending on viewer. We propose a novel framework of video summarization based on the detection of viewer behavior during watching video contents as a solution for this issue. It captures eye movement and operation of remote controller of video player as the behavior of a viewer while watching a video program. The degree of importance is evaluated based on his/her behavior and video summarization is carried out so that it reflects diversity of viewers preference or interest.

关键词： Watches Feature extraction Visualization Video recording Organizations History Indexes

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New encoding algorithm for distributed speech recognition based on DTFS transform 1

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5th international conference on image and signal Processing, ICISP 2012

作者： Touazi, Azzedine Debyeche, Mohamed University of Sciences and Technology Houari Boumediene El Alia Bab Ezzouar Algiers 16111 Algeria Algeria

ISBN: (数字)9783642312540

ISBN: (纸本)9783642312533

The paper presents a new algorithm for efficient compression of front-end feature extracted parameters used in distributed speech recognition systems (DSR). In the proposed method the source encoder is mainly based on discrete time Fourier series (DTFS) by interpolation using Fourier coefficients with conventional vector quantization. The system provides a compression bit rate as low as 4 kbps;the experiments were carried out on the TIDigits Aurora2 database [1]. The simulation results show good recognition performance without dramatic change comparing with ETSI STQ-AURORA standard front-end feature compression algorithm with quantized features at 4.4 kbps [2]. © 2012 Springer-Verlag.

关键词： Vector quantization

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Orthogonal Variable Spreading Factor (OVSF) based image transmission using Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system

Orthogonal Variable Spreading Factor (OVSF) based image tran...

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2012 international conference on Communications, Devices and Intelligent systems, CODIS 2012

作者： Sheikh, Javaid A. Parah, Shabir A. Akhtar, Uzma Sakeena Hafiz, A. Mueed Bhat, G.Mohiuddin Post Graduate Department of Electronics and Instrumentation Technology University of Kashmir Srinagar India University Science Instrumentation Centre University of Kashmir Srinagar India

ISBN: (纸本)9781467346986

Orthogonal Frequency Division Multiplexing (OFDM) in combination with Multiple Input Multiple Output (MIMO) is a popular method for high data rate wireless transmission. The use of multiple antennas at both sides of the link offers an additional fundamental gain-spatial multiplexing gain, which results in increased spectral efficiency. This paper is concerned with the simulation, modeling and performance evaluation of Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) with improved performance. In this scheme OVSF codes have been used for image spreading before transmission as it solves the synchronization problem and minimizes the effect of unwanted noise during transmission. Rayleigh fading channel has been used in the proposed scheme. The performance of the proposed scheme has been tested on image signal and checked by waveforms and plots by calculating bit error rate and pixel error rate. Various digital modulation techniques have been used for checking the performance of the proposed scheme. © 2012 IEEE.

关键词： Orthogonal frequency division multiplexing

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VLSI based Edge Detection Hardware Accelerator for Real Time Video Segmentation System

VLSI Based Edge Detection Hardware Accelerator for Real Time...

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4th international conference on Intelligent and Advanced systems (ICIAS) and A conference of World Engineering, Science and technology Congress (ESTCON)

作者： Yasri, I. Hamid, N. H. Ali, N. B. Zain Univ Teknol PETRONAS Elect Elect Dept Tronoh 31750 Perak Malaysia

ISBN: (纸本)9781457719677

Video segmentation is one of video image processing application that deployed by video surveillance system. The high computation power must be provided to support real time performance. This paper presents the implementation of VLSI based hardware accelerator design for real time video segmentation system. The algorithm of Sobel edge detection operator is used to develop this hardware accelerator. The NTSC standard definition video is digitized at 720x480 with a video rate of 30 frames per second. To develop hardware accelerator datapath architecture the management of memory access is deployed and architecture based pipeline are made with the potential improvements in acceleration to the read data pixel from memory. In addition, a finite state machine is used to ensure the hardware accelerator controls the sequence of derivative computation, the write and read operations. The hardware accelerator design is implemented on Altera Stratix III DSP development board and enables application of co-processor without requiring new application specific digital signal processor. The implementation result shows a field programmable gate arrays (FPGAs) acting as co-processor platforms for user defined co-processor, with real time performance at a frame rate of 30 fps with a resolution of 720 x 480. The parallel and pipeline technique are utilized in memory access, resulting more than 70% memory bandwidth reduction.

关键词： Edge Detection Hardware Accelerator Real Time VLSI FPGAs

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