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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

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Comparison of GPU-based and CPU-based algorithms for determining the minimum distance between a CUSA scalper and blood vessels 7

Comparison of GPU-based and CPU-based algorithms for determi...

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7th International conference on Bioinformatics Models, Methods and algorithms, BIOINFORMATICS 2016 - Part of 9th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2016

作者： Noborio, Hiroshi Kunii, Takahiro Mizushino, Kiminori Department of Computer Science Osaka Electro-Commun. Univ. Kiyotaki 1130-70 Shijo-Nawate Osaka575-0063 Japan Kashina System Co. Hirata-Cho 116-22 Hikone Shiga522-0041 Japan Embedded Wings Co. Ine 5-2-3 Minoh Osaka562-0015 Japan

ISBN: (纸本)9789897581700

In this study, we have designed a GPGPU (General-Purpose Graphics processing Unit)-based algorithm for determining the minimum distance from the tip of a CUSA (Cavitron Ultrasonic Surgical Aspirator) scalpel to the closest point around three types of blood vessel STLs (STereo-Lithographies). The algorithm consists of the following two functions: First, we use z-buffering (depth buffering) as the classic matured function of the GPU in order to effectively obtain depths corresponding to image pixels. Second, we use multiple cores of the GPU for parallel processing so as to calculate the minimum Euclidean distance from the scalpel tip to the closest z-values of the depths. Therefore, the complexity of the GPU-based algorithm does not depend on the shape complexity (e.g., patch, edge, and vertex numbers) of the blood vessels. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Graphics processing unit

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Absolute and differential G-tilt in turbulence: theory and applications 19

Absolute and differential G-tilt in turbulence: theory and a...

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conference on Optics in Atmospheric Propagation and Adaptive systems XIX

作者： Gladysz, Szymon Fraunhofer Inst Optron Syst Technol & Image Explo Gutleuthausstr 1 D-76275 Ettlingen Germany

ISBN: (数字)9781510604094

ISBN: (纸本)9781510604087;9781510604094

Artificial motion and warping of images taken at long range is one of the most significant and troublesome effects of atmospheric turbulence. It is important to understand and model this effect correctly in order to: 1) fully characterize turbulence between the target and the observer, 2) devise efficient post-processing strategies for artificial motion correction, and 3) exploit information about statistics of this atmospheric motion to distinguish between real and fake movement in a scene. This paper discusses two types of motion: G-tilt and Z-tilt, highlighting the differences between them. Optimal image block size for de-warping algorithms and bandwidth considerations are given special attention. Finally, strategies for turbulence characterization based on differential image motion are discussed.

关键词： atmospheric turbulence tilt anisoplanatism image motion

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algorithms for image processing in graph-based volumetric segmentation 7

Algorithms for image processing in graph-based volumetric se...

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7th International conference on Information, Intelligence, systems and Applications, IISA 2016

作者： Dan Burdescu, Dumitru Stanescu, Liana Brezovan, Marius Spahiu, Cosmin Stoica Slabu, Florin Computers and Information Technology Department Faculty of Automatics Computers and Electronics University of Craiova Romania Departament of Computer Science Faculty of Sciences University of Craiova Craiova Dolj Romania

ISBN: (纸本)9781509034291

The aim of this article is to present a method to detect visual objects from color digital images by volumetric segmentation. We will discuss algorithms for visual and multimedia computing. The problem of partitioning images into homogenous regions or semantic entities is a basic problem for identifying relevant objects. The presented method is a general-purpose volumetric segmentation method and it produces results from two different perspectives: (a) from the perspective of perceptual grouping of regions from the images, and also (b) from the perspective of determining regions if the input spatial images contain visual objects. We present a unified framework for volumetric image segmentation and prism cells used is the first run into volumetric segmentation algorithms. The major concept used in graph-based volumetric segmentation method is the concept of homogeneity of volumes and thus the edge weights are based on color distance. The complexity of our original algorithm for volumetric segmentation is linear. © 2016 IEEE.

关键词： Semantics

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Hybrid code description for developing fast and resource efficient image processing architectures 16

Hybrid code description for developing fast and resource eff...

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16th International conference on Embedded Computer systems: Architectures, Modeling and Simulation, SAMOS 2016

作者： Haublein, Konrad Reichenbach, Marc Reiche, Oliver Akif Ozkan, M. Fey, Dietmar Hannig, Frank Teich, Jurgen Computer Architecture Martensstraße 3 Erlangen91058 Germany Hardware-Software-Co-Design Cauerstraße 11 Erlangen91058 Germany

ISBN: (纸本)9781509030767

image processing algorithms applied on programmable embedded systems very often do not meet the given constraints in terms of real time capability. Mapping these algorithms to reconfigurable hardware solves this issue, but demands further specific knowledge in hardware development. The design process can be accelerated by code generation through high-level synthesis, which is very flexible. However, the quality of synthesis depends on many factors like the provided constraints, code description, and algorithmic complexity. Hence, optimizing these parameters may improve the generated results in terms of logic and memory utilization, as well as data throughput and synthesis duration. In this work, we aim to exploit domain-specific knowledge for a hybrid code description in order to benefit from rapid development through high-level synthesis in combination with throughput optimized generic hardware descriptions. By utilizing code generation techniques, the entire design flow gets accelerated. Our synthesis results show a similar resource utilization and achievable throughput to a pure HDL described hardware. © 2016 IEEE.

关键词： Codes (symbols)

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Scale-Aware Alignment of Hierarchical image Segmentation 29

Scale-Aware Alignment of Hierarchical Image Segmentation

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2016 IEEE conference on Computer Vision and Pattern Recognition (CVPR)

作者： Chen, Yuhua Dai, Dengxin Pont-Tuset, Jordi Van Gool, Luc Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Katholieke Univ Leuven ESAT PSI VISICS Leuven Belgium

ISBN: (纸本)9781467388511

image segmentation is a key component in many computer vision systems, and it is recovering a prominent spot in the literature as methods improve and overcome their limitations. The outputs of most recent algorithms are in the form of a hierarchical segmentation, which provides segmentation at different scales in a single tree-like structure. Commonly, these hierarchical methods start from some low-level features, and are not aware of the scale information of the different regions in them. As such, one might need to work on many different levels of the hierarchy to find the objects in the scene. This work tries to modify the existing hierarchical algorithm by improving their alignment, that is, by trying to modify the depth of the regions in the tree to better couple depth and scale. To do so, we first train a regressor to predict the scale of regions using mid-level features. We then define the anchor slice as the set of regions that better balance between over-segmentation and under-segmentation. The output of our method is an improved hierarchy, re-aligned by the anchor slice. To demonstrate the power of our method, we perform comprehensive experiments, which show that our method, as a post-processing step, can significantly improve the quality of the hierarchical segmentation representations, and ease the usage of hierarchical image segmentation to high-level vision tasks such as object segmentation. We also prove that the improvement generalizes well across different algorithms and datasets, with a low computational cost.

关键词： image segmentation

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Predicting learners' multi-question performance based on neural networks 4

Predicting learners' multi-question performance based on neu...

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4th International conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017

作者： Liao, Pan Sun, Yuan Ye, Shiwei Li, Xin Su, Guiping Sun, Yi School of Computer and Control Engineering University of Chinese Academy of Sciences China Information and Society Research Division National Institute of Informatics Tokyo Japan Big Data Research Institute Hefei China

ISBN: (纸本)9781538623657

As massive open online courses (MOOCs) and online intelligent tutoring systems(ITS) have become increasingly widespread, the number of learners enrolled in online courses has shown explosive growth. However, these learners are likely to have acquired knowledge from diverse educational and vocational backgrounds. Therefore, it is unwise to apply the same criteria and assessment questions to assess all learners' abilities without differentiation. Therefore, the demand for the adaptive arrangement of questions for online learners is ever critical. Deep learning is a new increasingly popular approach for handling extraordinarily complex problems such as image recognition and natural language processing. In this research, we use neural networks to forecast learners' multi-question performance on new test questions and propose a new concept called predictable property for the first time to explain the reasons why neural networks can be applied to predict learners' multi-question performance based on their previous question responses. This approach means that fewer questions need to be answered by learners although more information can be gathered about them through the use of deep-learning-based techniques. Finally, we use both artificial datasets generated by cognitive models and three real-world datasets to validate the algorithm's performance. Experiments show a promising research result when using deep learning to predict learner performance in multi-question tasks and can ultimately provide more accurate adaptive tests for learners. © 2017 IEEE.

关键词： image recognition

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Medic: An Artificially Intelligent System to Provide Healthcare Services to Society and Medical Assistance to Doctors

Medic: An Artificially Intelligent System to Provide Healthc...

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International conference on Communication and Electronics systems (ICCES)

作者： Jayawant, Shubham Chair of Power Electronics Institute of Power Engineering Dresden Germany

ISBN: (纸本)9781509010660

Since the last decade, number of applications of Artificial Intelligence in daily livelihood has drastically increased. This is primarily because of the inclusion of high-tech gadgets in our day-to-day lives. These gadgets provide high computational capabilities and geographical reach. These two features could be exerted to provide medical services to the society. This paper is based on a project which emphasizes on creating a software infrastructure which would provide healthcare services like diagnosis of diseases, advising medical tests to patients, providing medical prescription to patients by making use of personalized medicine problem solving algorithms etc., and providing medical assistance to doctors. This project, Medic, makes use of natural language processing, fuzzy logic, deep learning and a constantly evolving knowledge base to correctly diagnose diseases. It also provides various services to doctors which would help them while making decisions regarding any patient's medical treatment.

关键词： Artificial Intelligence Natural language processing image recognition Convolution neural networks Deep learning Artificial neural networks

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Fast gender recognition in videos using a novel descriptor based on the gradient magnitudes of facial landmarks

Fast gender recognition in videos using a novel descriptor b...

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IEEE conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： George Azzopardi Antonio Greco Alessia Saggese Mario Vento University of Malta University of Salerno

The growing interest in recent years for gender recognition from face images is mainly attributable to the wide range of possible applications that can be used for commercial and marketing purposes. It is desirable that such algorithms process high resolution video frames acquired by using surveillance cameras in real-time. To the best of our knowledge, however, there are no studies which analyze the computational impact of the methods and the difficulties related to the processing of faces extracted from videos captured in the wild. We propose a novel face descriptor based on the gradient magnitudes of facial landmarks, which are points automatically extracted from the face contour, eyes, eyebrows, nose, mouth and chin. We evaluate the effectiveness and efficiency of the proposed approach on two new datasets, which we made available online and that consist of color face images and color video sequences acquired in real scenarios. The proposed approach is more efficient and effective than three commercial libraries.

关键词： Face Videos image color analysis Cameras Real-time systems Face recognition Support vector machines

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Development Prospects of the Visual Data Compression Technologies and Advantages of New Approaches 1

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9th KES International conference on Intelligent Interactive Multimedia systems and Services (IIMSS)

作者： Vostrikov, Anton Sergeev, Mikhail St Petersburg State Univ Aerosp Instrumentat Dept Comp Syst & Networks 67 Bolshaya Morskaya St St Petersburg 190000 Russia

ISBN: (数字)9783319393452

ISBN: (纸本)9783319393452;9783319393445

The static image and video information compression algorithms development over the last 15-20 years, as well as standardized and non-standardized formats for data storage and transmission have been analyzed;the main factors affecting the further development of approaches that eliminate the redundancy of transmitted and stored visual information have been studied. The conclusion on the current prospects for the development of image compression technologies has been made. New approaches that use new low-level quasi-orthogonal matrices as transform operators have been defined. The advantages of such approaches opening new fundamentally different opportunities in the field of applied processing of digital visual information have been identified and presented.

关键词： image compression Video compression Protection against unauthorized access M-matrices Audiovisual information coding Metadata

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An integral design strategy combining optical system and image processing to obtain high resolution images 12

An integral design strategy combining optical system and ima...

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conference on Remotely Sensed Data Compression, Communications, and processing XII

作者： Wang, Jiaoyang Wang, Lin Yang, Ying Gong, Rui Shao, Xiaopeng Liang, Chao Xu, Jun Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Shaanxi Peoples R China Ordnance Ind Res Inst China 203 Xian 710065 Shaanxi Peoples R China

ISBN: (纸本)9781510601154

In this paper, an integral design that combines optical system with image processing is introduced to obtain high resolution images, and the performance is evaluated and demonstrated. Traditional imaging methods often separate the two technical procedures of optical system design and imaging processing, resulting in the failures in efficient cooperation between the optical and digital elements. Therefore, an innovative approach is presented to combine the merit function during optical design together with the constraint conditions of image processing algorithms. Specifically, an optical imaging system with low resolution is designed to collect the image signals which are indispensable for imaging processing, while the ultimate goal is to obtain high resolution images from the final system. In order to optimize the global performance, the optimization function of ZEMAX software is utilized and the number of optimization cycles is controlled. Then Wiener filter algorithm is adopted to process the image simulation and mean squared error (MSE) is taken as evaluation criterion. The results show that, although the optical figures of merit for the optical imaging systems is not the best, it can provide image signals that are more suitable for image processing. In conclusion. The integral design of optical system and image processing can search out the overall optimal solution which is missed by the traditional design methods. Especially, when designing some complex optical system, this integral design strategy has obvious advantages to simplify structure and reduce cost, as well as to gain high resolution images simultaneously, which has a promising perspective of industrial application.

关键词： integral design optical figures of merit Wiener filter mean squared error optimization cycles

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