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

共 6215 条记录，以下是4701-4710 订阅

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A mashup personalization service based on Semantic Web rules and Linked Data

A mashup personalization service based on Semantic Web rules...

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7th international conference on signal image technology and internet-based systems, SITIS 2011

作者： Solomou, Georgia D. Kalou, Aikaterini K. Koutsomitropoulos, Dimitrios A. Papatheodorou, Theodore S. HPCLab. Computer Engineering and Informatics Dpt. University of Patras Patras Greece

ISBN: (纸本)9780769546353

The growing availability of Linked Data and other structured information on the Web does not keep pace with the rich semantic descriptions and conceptual associations that would be necessary for direct deployment of user-tailored services. In contrast, the more complex descriptions become, the harder it is to reason about them. To show the efficacy of a potential compromise between the two, in this paper we propose an intelligent and scalable personalization service, built upon the idea of combining Linked Data with Semantic Web rules. This service is mashing up information from different bookstores, and suggests users with personalized data according to their preferences, which in turn are modeled by a set of Semantic Web rules. This information is made available as Linked Data, thus enabling third-party recipients to consume knowledge-enhanced information. © 2011 IEEE.

关键词： Linked data

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Minimum cross entropy thresholding using entropy-Li based on Log-normal distribution for skin cancer images

Minimum cross entropy thresholding using entropy-Li based on...

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7th international conference on signal image technology and internet-based systems, SITIS 2011

作者： AlSaeed, Duaa H. El-Zaart, Ali Bouridane, Ahmed School of Computing Engineering and Information Sciences Northumbria University Newcastle Upon Tyne United Kingdom King Saud University Riyadh Saudi Arabia Beirut Arab University Beirut Lebanon

ISBN: (纸本)9780769546353

Accurate thresholding of skin cancer images is a very essential issue in medical diagnostic applications and biometric authentication and verification systems [1], another important issue in such applications relates to its computational complexity. The objective of this study is to develop a more accurate and faster solution for estimating the optimal thresholding value of skin images. This work proposes a new algorithm for an Iterative Minimum Cross Entropy Thresholding method based on Log-normal distribution (MCET-Lognormal), under the assumption that the data of skin images is best modelled as a mixture of Log-normal distributions. The proposed method was applied on bi-modal skin cancer images and promising experimental results were obtained. Evaluation of the resulting segmented skin images shows that the proposed method yields better estimation of the optimal threshold than does the same MCET method with Gaussian distribution (MCET-Gaussian). It also reduces computational time compared to sequential search techniques. © 2011 IEEE.

关键词： Iterative methods

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Video semantic mining based on dense sub graph finding

Video semantic mining based on dense sub graph finding

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7th international conference on signal image technology and internet-based systems, SITIS 2011

作者： Zhang, Shilin Zhang, Shuwu Li, Heping Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769546353

In this paper, we present a method for video semantic mining. Speech signal, video caption text and video frame images are all key factors for a person to understand the video content. Through above observation, we bring forward a method which integrating continuous speech recognition, video caption text recognition and object recognition. The video is firstly segmented to a serial of shots by shot detection. Then the caption text and speech recognition results are treated as two paragraphs of text. The object recognition results are presented by bag of words. The above three aspects of texts are processed by part of speech and stemming. Then only the noun words are kept. At last a video is represented by three bags of words. The words are further depicted as a graph. The graph vertices stand for the words and the edges denote the semantic distance between two neighboring words. In the last step, we apply the dense sub graph finding method to mine the video semantic meaning. Experiments show that our video semantic mining method is efficient. © 2011 IEEE.

关键词： Semantics

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Implementing ITS 3.0 applications by integrating Ruby on Rails, Sesame and Protegè technologies

Implementing ITS 3.0 applications by integrating Ruby on Rai...

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7th international conference on signal image technology and internet-based systems, SITIS 2011

作者： Faro, Alberto Spampinato, Concetto Dept. of Electrical Electronics and Computer Engineering University of Catania Catania Italy

ISBN: (纸本)9780769546353

As known, the new generation of Intelligent Transportation systems (ITSs) is evolving towards a georeferenced semantic system, denoted in the paper as ITS 3.0, highly permeated by the Web 3.0 technology. More explicitly, ITS 3.0 is a set of databases dealing with geospatial, administrative and business information to be interconnected by a standard data scheme to allow mobile users to access the relevant ITS information through a suitable geo-referenced semantic interface. Although many models have been proposed for semantically structuring the main location based services by means of conceptual taxonomies or entity relations, few real ITSs work in this way. Thus, aim of the paper is to discuss how effective semantic ITSs can be implemented in practice by three technologies: the first devoted to implement user centered processes (Ruby on Rails), the second aiming at integrating the disparate data sources featuring the ITS applications by a suitable data ontology (Protegè), the third to provide the user processes with the needed data (Sesame). Both theoretical considerations and practical issues will be taken into account to build safe and live ITS applications that meet the user practices. © 2011 IEEE.

关键词： Location based services

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Vision-based smoke detection algorithm for early fire recognition in digital video recording system

Vision-based smoke detection algorithm for early fire recogn...

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7th international conference on signal image technology and internet-based systems, SITIS 2011

作者： Ha, Changwoo Jeon, Gwanggil Jeong, Jechang Department of Electronics and Computer Engineering Hanyang University 17 Haengdang-dong Seongdong-gu Seoul Korea Republic of

ISBN: (纸本)9780769546353

The digital video recording (DVR) closed circuit television (CCTV) system is quickly becoming one of the most accepted security, surveillance documentation, and monitoring in service today. Particularly a lot of catastrophes such as tsunami, volcano, and terrorism cause huge casualty and property loss. In this paper, we concentrate on the smoke detection system in video for early fire alarming. The proposed block-based smoke detection algorithm consists of three basic steps, which has simple operation and provides good performance. In the first step, we discover motion vector utilizing several motion estimation schemes and discern the suspect as smoke region. This process does not require huge computational cost because of using the H.264/AVC during the recoding in DVR system. In the second step, we conduct block based chromatic detection. In the third step, we employ motion information for detecting the correct smoke block by using the characteristics that smoke goes almost upward. Experimental results provide that the proposed method gives good performance for real smoke detection. © 2011 IEEE.

关键词： Smoke

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internet based subjective assessment of image quality experiment

Internet based subjective assessment of image quality experi...

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2011 18th international conference on systems, signals and image Processing, IWSSIP 2011

作者： Grzywalski, Tomasz Luczak, Adam Stasinski, Ryszard Department of Electronics and Communications Poznań University of Technology Poznan Poznan Poland

ISBN: (纸本)9789958996610

In the paper an internet based massive experiment devoted to subjective assessment of images quality is described. The investigations have been based on DSIS method with some modifications induced by the nature of internet poll. Special measures have been undertaken for removing results given by incompetent experiment participants. The huge number of tests allowed for multi-aspect image quality evaluation: 12 deformation effects have been applied to 22 images. The results point at important problems linked with automation of image quality assessment: factors determined by high levels of human visual cognition (e.g. face deformation), surprisingly high impact of local distortions on scores for some tested images, finally, correct modeling of low-level effects, like masking. © 2011 Univ of Sarajevo.

关键词： image quality

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FAST AND HIGH QUALITY LEARNING-based SUPER-RESOLUTION UTILIZING TV REGULARIZATION METHOD

FAST AND HIGH QUALITY LEARNING-BASED SUPER-RESOLUTION UTILIZ...

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18th IEEE international conference on image Processing (ICIP)

作者： Goto, Tomio Suzuki, Shotaro Hirano, Satoshi Sakurai, Masaru Nguyen, Truong Q. Nagoya Inst Technol Showa Ku Nagoya Aichi 4668555 Japan Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)9781457713033

Super-resolution image reconstruction is an important technology in many image processing areas such as image sensing, medical imaging, satellite imaging, and television signal conversion. It is also a key word of a recent consumer HDTV set that utilizes the CELL processor. Among various super-resolution methods, the learning-based method is one of the most promising solutions. The problem of the learning-based method is its enormous computational time for image searching from the large database of training images. We have proposed a new Total Variation (TV) regularization super-resolution method that utilizes a learning-based super-resolution method. We have obtained excellent results in image quality improvement. However, our proposed method needs long computational time because of the learning-based method. In this paper, we examine two methods that reduce the computational time of the learning-based method. The resulting algorithms reduce complexity significantly while maintaining comparable image quality. This enables the adoption of learning-based super-resolution to the motion pictures such as HDTV and internet movies.

关键词： Super-resolution Learning-based method Total Variation regularization Fast algorithm

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Low complexity high security image encryption based on nested PWLCM chaotic map

Low complexity high security image encryption based on neste...

引用

2011 international conference for internet technology and Secured Transactions, ICITST 2011

作者： Abdlrudha, Hadi H. Nasir, Qassim Computer Sceince Department Petra Private University Faculty of Information Technology Amman Jordan Department of Electrical and Computer Engineering University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781908320001

Chaotic systems produce pseudo-random sequences with good randomness;therefore, these systems are suitable to efficient image encryption. In this paper, a low complexity image encryption based on Nested Piece Wise Linear Chaotic Map (NPWLCM) is proposed. Bit planes of the grey or color levels are shuffled to increase the encryption complexity. A security analysis of the proposed system is performed and presented. The proposed method combine pixel shuffling, bit shuffling, and diffusion, which is highly disorder the original image. The initial values and the chaos control parameters of NPWLCM maps are derived from external secret key. The cipher image generated by this method is the same size as the original image and is suitable for practical use in the secure transmission of confidential information over the internet. The experimental results of the proposed method show advantages of low complexity, and high-level security. © 2011 ICITST.

关键词： Chaotic systems

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Online survey system for image-based clinical guideline studies using the Delphi method

Online survey system for image-based clinical guideline stud...

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33rd Annual international conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBS)

作者： Harper, Todd M. Teng, Chia-Chi Brigham Young Univ Provo UT 84602 USA

ISBN: (纸本)9781424441228

The increasing use of health information technology (HIT) is due to a rising interest in improving the quality of health care. HIT has the potential to reduce cost and transform services. Proper clinical support systems will contribute to the meaningful use of HIT systems by providing a wide array of data to clinicians for the diagnosis and treatments. Clinical guidelines, created by a consensus of experts, can be put in place to assist physicians in making clinical decisions. Delphi methods are commonly used to create consensus from surveys completed by a team of experts. image based studies could create guidelines that standardize severity, deformity or other clinical classifications. As these studies were traditionally conducted using paper based media, the cost and time requirement often make the process impractical. Ware proposing a web based system to aid medical researchers in conducting image based Delphi studies for improved clinical guidelines and decision support.

关键词： Biomedical imaging Correlation Databases Delphi method Electronic mail Guidelines HIT systems internet internet Medical services Web based system clinical support systems decision support decision support systems health care health care health information

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Effect of averaging and deblurring filter on ASVD based image retrieval for embedded system applications

Effect of averaging and deblurring filter on ASVD based imag...

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2011 - international conference on signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011

作者： Dixit, Mahendra M. Priyatamkumar Department of Electronics and Communication Engg. S.D.M. College of Engineering and Technology Dharwad Karnataka India Department of Electronics and Communication Engg B.V.B. College of Engineering and Technology Hubli Karnataka India

ISBN: (纸本)9781612846538

Digital image Processing is an ever expanding and dynamic area with applications reaching out into our everyday life such as digital gadgets, medicine, space exploration, internet technologies, surveillance, and many more areas. Applications such as these engross different processes like image compression, enhancement, filtering, resizing to name a few. The proposed work encompasses the effect of averaging and deblurring filtering techniques on the images, retrieved from an Adaptive Singular Value Decomposition (ASVD) algorithm. This paper explores and verifies the consequences of the application of averaging and deblurring filters to reconstructed images with varying values of rank of matrix (k), by using computing parameters such as Mean Square Error (MSE) and Peak signal to Noise Ratio (PSNR) in accordance with quality of the image processed. Such a system developed may find the application in many embedded systems. © 2011 IEEE.

关键词： Mean square error

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