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检索条件"任意字段=17th Image Processing: Algorithms and Systems Conference, IPAS 2019"

共 249 条记录，以下是171-180 订阅

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Automatic license plate recognition in difficult conditions — Technical report

Automatic license plate recognition in difficult conditions ...

引用

Joint World Congress of International Fuzzy systems Association and International conference on Soft Computing and Intelligent systems (IFSA-SCIS)

作者： Petr Hurtik Marek Vajgl University of Ostrava Institute for Research and Applications of Fuzzy Modeling Ostrava Czech Republic

ISBN: (纸本)9781509049189

By a car license plate recognition, we mean a software system processing images and providing an alphanumeric transcription of car plates included in an image. We divide the task into four sub-tasks: license plate localization, license plate extraction, characters segmentation and characters recognition. All four sub-tasks are discussed in the context of standard approaches and own solution based on a chain of standard and soft computing image processing algorithms is presented. In this chain, the F-transform approximate pattern matching algorithm plays the crucial role. For the solution, we presented recognition ability for a dataset which includes 500 images with difficult conditions.

关键词： Automobiles Licenses Character recognition Cameras image segmentation image edge detection Transforms

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DeepCompareJ: Comparing image Classification Models 17th

DeepCompareJ: Comparing Image Classification Models

引用

17th International conference on Computer Aided systems theory, EUROCAST 2019

作者： Inés, A. Domínguez, C. Heras, J. Mata, E. Pascual, V. Department of Mathematics and Computer Science University of La Rioja Logroño Spain

ISBN: (纸本)9783030450953

image classification is a computer vision task that has several applications in diverse fields like security, biology or medicine;and, currently, deep learning techniques have become the state-of-the-art to create image classification models. this growing use of deep learning techniques is due to the large amount of data, the fast increase of the computer processing capacity, and the openness of deep learning tools. However, whenever deep learning techniques are used to solve a classification problem, we can find several deep learning frameworks with their own peculiarities, and different models in each framework;hence, it is natural to wonder which option fits better our problem. In this paper, we present DeepCompareJ, an open-source tool that has been designed to compare, with respect to a given dataset, the quality of deep models created using different frameworks. © 2020, Springer Nature Switzerland AG.

关键词： image classification

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Parallel image dehazing algorithm based on GPU using fuzzy system and hybird evolution algorithm

Parallel image dehazing algorithm based on GPU using fuzzy s...

引用

ACIS International conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD)

作者： Che-Lun Hung Ren-You Yan Hsiao-Hsi Wang Department of Computer Science and Communication Engineering Providence University Taichung Taiwan Department of Computer Science and Information Management Providence University Taichung Taiwan

Haze is an atmospheric phenomenon that fogs the visibility of the scenes. Removing the haze has been an important issue in image processing technologies. Many image dehazing technologies with evolution algorithms have been proposed to remove the fog in the image. However, these algorithms usually are compute-intensive. In this paper, we propose a parallel hybrid evolution algorithm based on GPU to enhance the computational performance. In traditional evolution algorithms, the calculation of fitness function occupies the most of the computation time. In the proposed method, we implement this part on GPU by using CUDA framework to reduce the computational load. the experiment results show that the proposed method can remove the haze efficiently and successfully.

关键词： Graphics processing units Fuzzy systems Evolutionary computation Signal processing algorithms Algorithm design and analysis Genetic algorithms Entropy

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Parallel Implementation of Edge-Directed image Interpolation on a Graphics processing Unit

Parallel Implementation of Edge-Directed Image Interpolation...

引用

International conference on Parallel and Distributed systems (ICPADS)

作者： Jiaji Wu Tao Li Bormin Huang School of Electronic Engineering Xidian University Xi'an China Space Science and Engineering Center University of Wisconsin-Madison Madison USA

the edge-directed interpolation scheme is a non-iterative, orientation-adaptive method to enhance image resolution with better visual effect than conventional interpolation methods. It interpolates the missing pixels based on the covariance of a high-resolution image estimated from the covariance of the low-resolution image. In spite of the impressive performance, the computational complexity of covariance-based adaptation is significantly higher than that of the conventional linear interpolation algorithms. In this paper, we propose a GPU-based massively parallel version of the edge-directed interpolation scheme. A speedup of 61.7x can be achieved with respect to its single-threaded CPU counterpart in the host computer.

关键词： Interpolation Graphics processing unit Instruction sets image edge detection Streaming media Kernel Registers

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Determining the proximity of groups in social networks based on text analysis using big data 5

Determining the proximity of groups in social networks based...

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Data Science Session at the 5th International conference on Information Technology and Nanotechnology, DS-ITNT 2019

作者： Mukhin, A.S. Rytsarev, I.A. Paringer, R.A. Kupriyanov, A.V. Kirsh, D.V. Samara National Research University Moskovskoe Shosse 34 Samara443086 Russia Image Processing Systems Institute of RAS Branch of the FSRC "Crystallography and Photonics" RAS Molodogvardejskaya street 151 Samara443001 Russia

the article is devoted to the definition of such groups in social networks. the object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. the existing algorithms of text analysis, mainly of large volume, were investigated and applied. © 2019 CEUR Workshop Proceedings.

关键词： Big data

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CONTINUOUS NON-NEGATIVE MATRIX FACTORIZATION FOR TIME-DEPENDENT DATA

CONTINUOUS NON-NEGATIVE MATRIX FACTORIZATION FOR TIME-DEPEND...

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European signal processing conference

作者： Lars Omlor Jean-Jacques Slotine Department of Cognitive Neurology University of Tubingen Wilhelmstr. 7 72074 Tubingen Germany Nonlinear Systems Laboratory MIT 77 Massachusetts Avenue Cambridge MA 02139-4307 USA

ISBN: (纸本)9781617388767

In many signal processing applications such as image analysis or spectral decomposition, non-negativity constrains are necessary to provide a physical reasonable interpretation. this constraint is exploited by non-negative matrix factorization (NMF) methods. the goal of NMF is to find low rank matrices A > 0 and B > 0 such that the positive data matrix X can be approximated by AB ≈ X. Most algorithms for this type of factorization are discrete-step iterative optimization procedures based on gradient descent or Quasi-Newton methods. Here we propose a continuous-time version of NMF based on dynamical systems with positive solutions, which allows time-dependent cost functions, e.g. due to time-dependent data.

关键词： factorization matrix decomposition time-dependent DYNAMICAL systems image analysis

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High-Dimensional Similarity Query processing for Data Science 21

High-Dimensional Similarity Query Processing for Data Scienc...

引用

27th ACM SIGKDD International conference on Knowledge Discovery and Data Mining (KDD)

作者： Qin, Jianbin Wang, Wei Xiao, Chuan Zhang, Ying Wang, Yaoshu Shenzhen Univ Shenzhen Guangdong Peoples R China Shenzhen Inst Comp Sci Shenzhen Guangdong Peoples R China Hong Kong Univ Sci & Technol Kowloon Hong Kong Peoples R China Osaka Univ Suita Osaka Japan Nagoya Univ Suita Osaka Japan Univ Technol Sydney Ultimo NSW Australia

ISBN: (纸本)9781450383325

Similarity query (a.k.a. nearest neighbor query) processing has been an active research topic for several decades. It is an essential procedure in a wide range of applications (e.g., classification & regression, deduplication, image retrieval, and recommender systems). Recently, representation learning and auto-encoding methods as well as pre-trained models have gained popularity. they basically deal with dense high-dimensional data, and this trend brings new opportunities and challenges to similarity query processing. Meanwhile, new techniques have emerged to tackle this long-standing problem theoretically and empirically. this tutorial aims to provide a comprehensive review of high-dimensional similarity query processing for data science. It introduces solutions from a variety of research communities, including data mining (DM), database (DB), machine learning (ML), computer vision (CV), natural language processing (NLP), and theoretical computer science (TCS), thereby highlighting the interplay between modern computer science and artificial intelligence technologies. We first discuss the importance of high-dimensional similarity query processing in data science applications, and then review query processing algorithms such as cover tree, locality sensitive hashing, product quantization, proximity graphs, as well as recent advancements such as learned indexes. We analyze their strengths and weaknesses and discuss the selection of algorithms in various application scenarios. Moreover, we consider the selectivity estimation of high-dimensional similarity queries, and show how researchers are bringing in state-of-the-art ML techniques to address this problem. We expect that this tutorial will provide an impetus towards new technologies for data science.

关键词： similarity query processing nearest neighbor similarity search high-dimensional data

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A novel iris recognition system based on active contour

A novel iris recognition system based on active contour

引用

Iranian conference of Biomedical Engineering (ICBME)

作者： Seyyed Mohammad Sadegh Moosavi Seyed Mohammad Seyedzade Ahmad Ayatollahi Department of Electrical Engineering Iran University of Science and Technology Tehran Iran

image segmentation is a method which is widely used in image processing application, and it is one of the most difficult steps of the process. this matter becomes more significant when we try to use the algorithms presented in complicated systems, such as the biometric systems. Different methods of iris segmentation have been presented so far. In this article, a new algorithm has been proposed for iris segmentation. We tried to use the greedy snake algorithm for the iris segmentation process. the proposed algorithm was tested on the CASIA Iris image Database 1.0 and the obtained results showed that the proposed method has an acceptable accuracy.

关键词： Iris recognition Active contours image segmentation image edge detection Pixel Accuracy Feature extraction

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Scene-and-process-dependent spatial image quality metrics 17

Scene-and-process-dependent spatial image quality metrics

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17th image Quality and System Performance conference, IQSP 2020

作者： Fry, Edward W. S. Triantaphillidou, Sophie Jenkin, Robin B. Jacobson, Ralph E. Jarvis, John R. Faculty of Science and Technology University of Westminster United Kingdom NVIDIA Corporation 2788 San Tomas Expressway Santa ClaraCA95050 United States

Spatial image quality metrics designed for camera systems generally employ the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS) and a visual contrast detection model. Prior art indicates that scene-dependent characteristics of non-linear, content-aware image processing are unaccounted for by MTFs and NPSs measured by traditional methods. the authors present two novel metrics: the log Noise Equivalent Quanta (log NEQ) and Visual log NEQ. they both employ Scene-and-Process-Dependent MTF (SPD-MTF) and NPS (SPD-NPS) measures, which account for signal transfer and noise scene dependency, respectively. the authors also investigate implementing contrast detection and discrimination models that account for scene-dependent visual masking. Also, three leading camera metrics are revised to use the above scene-dependent measures. All metrics are validated by examining correlations with the perceived quality of images produced by simulated camera pipelines. Metric accuracy improved consistently when the SPD-MTFs and SPD-NPSs were implemented. the novel metrics outperformed existing metrics of the same genre. © 2019 Society for Imaging Science and Technology.

关键词： Optical transfer function

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Real-time, 3-D multi object position estimation and tracking

Real-time, 3-D multi object position estimation and tracking

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International conference on Pattern Recognition

作者： J. Kaszubiak M. Tornow R.W. Kuhn B. Michaelis Faculty of Electrical Engineering and Information Technology Institute of Electronics Signal Processing and Communication (IESK) Otto-von-Guericke University of Magdeburg Magdeburg Germany

For autonomously acting robots and driver assistance systems, powerful optical stereo sensor systems are required. Object positions and environmental conditions have to be acquired in real-time. A hardware-software co-design is applied, acting within the presented stereophotogrammetric system. For calculation of the depth map, an optimized algorithm is implemented as a hierarchical parallel hardware solution. By adapting the image resolution to the distance, real-time processing is possible. the object clustering and the tracking is realized in a processor. the density distribution of the disparity in the depth map (disparity histogram) is used for object detection. A Kalman filter stabilizes the parameters of the results.

关键词： Hardware Clustering algorithms Delay Optical signal processing Signal processing algorithms Object detection Real time systems Vehicles Streaming media Cameras

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