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共 284 条记录，以下是131-140 订阅

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A new method for handwritten scene text detection in video

A new method for handwritten scene text detection in video

引用

international conference on Frontiers in Handwriting recognition

作者： Shivakumara, Palaiahnakote Dutta, Anjan Pal, Umapada Tan, Chew Lim School of Computing National University of Singapore Singapore Singapore Computer Vision Center Universitat Autònoma de Barcelona Barcelona Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

ISBN: (纸本)9780769542218

there are many video images where hand written text may appear. therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature. In this paper, we present a new method based on maximum color difference and boundary growing method for detection of multi-oriented handwritten scene text in video. the method computes maximum color difference for the average of R, G and B channels of the original frame to enhance the text information. the output of maximum color difference is fed to a K-means algorithm with K=2 to separate text and non-text clusters. Text candidates are obtained by intersecting the text cluster with the Sobel output of the original frame. To tackle the fundamental problem of different orientations and skews of handwritten text, boundary growing method based on a nearest neighbor concept is employed. We evaluate the proposed method by testing on our own handwritten text database and publicly available video data (Hua's data). Experimental results obtained from the proposed method are promising. © 2010 IEEE.

关键词： Color

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Image and Graphics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Huchuan Lu Risheng Liu Wanli Ouyang Hui Huang Jiwen Lu Jing Dong Min Xu

ISBN: (数字)9783031463051

ISBN: (纸本)9783031463044

the five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th international conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.;the 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. they were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.;the ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-classplenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.

关键词： Image Processing and Computer Vision Artificial Intelligence pattern recognition Computer Systems Organization and Communication Networks

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High-Performance computing Systems and Technologies in Scientific Research, Automation of Control and Production 1

引用

丛书名： Communications in Computer and Information Science

1000年

作者： Vladimir Jordan Ilya Tarasov Ella Shurina Nikolay Filimonov Vladimir Faerman

ISBN: (数字)9783031237447

ISBN: (纸本)9783031237430

this book constitutes the refereed proceedings of the 12th international conference on High-Performance computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2022, held in Barnaul, Russia, during May 20–21, 2022.;the 23 full papers included in this book were carefully reviewed and selected from 116 submissions. they were organized in topical sections as follows: hardware for high-performance computing and signal processing; information technologies and computer simulation of physical phenomena; computing technologies in data analysis and decision making; and computing technologies in information security applications.

关键词： Computer Systems Organization and Communication Networks Mathematics of computing Computer Imaging, Vision, pattern recognition and Graphics Artificial Intelligence Data Structures and Information theory Software Engineering/Programming and Operating Systems

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Gyral Folding pattern Analysis via Surface Profiling

引用

12th international conference on Medical Image computing and Computer-Assisted Intervention (MICCAI2009)

作者： Li, Kaiming Guo, Lei Li, Gang Nie, Jingxin Faraco, Carlos Zhao, Qun Miller, Stephen Liu, Tianming Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China Univ Georgia Dept Comp Sci Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Dept Psychol Athens GA 30602 USA Univ Georgia Bioimaging Res Ctr Dept Phys & Astron Athens GA 30602 USA

ISBN: (纸本)9783642042676

Human cortical folding pattern has been Studied for decades. this paper proposes a gyrus scale folding pattern analysis technique via cortical surface profiling. Firstly, we sample the cortical Surface into 2D profiles and model them using power function. this step provides both the flexibility of representing arbitrary shape by profiling and the compactness of representing shape by parametric modeling. Secondly, based on the estimated model parameters, we extract affine-invariant features on the cortical Surface and apply the affinity propagation Clustering algorithm to parcellate the cortex into regions with different shape patterns. Finally, a second-round surface profiling is performed on the parcellated cortical regions, and the number of hinges is detected to describe the gyral folding pattern. Experiments demonstrate that our method could successfully classify human gyri into 2-hinge, 3-hinge and 4-hinge gyri. the proposed method has the potential to significantly contribute to automatic segmentation and recognition of cortical gyri.

关键词： Clustering algorithms

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Image and Graphics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Huchuan Lu Risheng Liu Wanli Ouyang Hui Huang Jiwen Lu Jing Dong Min Xu

ISBN: (数字)9783031463112

ISBN: (纸本)9783031463105

关键词： Image Processing and Computer Vision Artificial Intelligence pattern recognition Computer Systems Organization and Communication Networks

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Image and Graphics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Huchuan Lu Risheng Liu Wanli Ouyang Hui Huang Jiwen Lu Jing Dong Min Xu

ISBN: (数字)9783031463143

ISBN: (纸本)9783031463136

关键词： Image Processing and Computer Vision Artificial Intelligence pattern recognition Computer Systems Organization and Communication Networks

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Image and Graphics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Huchuan Lu Risheng Liu Wanli Ouyang Hui Huang Jiwen Lu Jing Dong Min Xu

ISBN: (数字)9783031463082

ISBN: (纸本)9783031463075

the five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th international conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023.;the 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. they were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality.;the ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-classplenary speakers, exhibits, and high quality peer reviewed oral and poster presentations.

关键词： Image Processing and Computer Vision Artificial Intelligence pattern recognition Computer Systems Organization and Communication Networks

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Analysis and Optimization of Sparse LU factorization of Power Matrix Based on GLU 12

Analysis and Optimization of Sparse LU factorization of Powe...

引用

12th international conference on Renewable Power Generation, RPG 2023

作者： Shi, Cuncun Lin, Long Yang, He Wang, Shucai State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co. Ltd Beijing China

With the continuous improvement of power grid stability and reliability requirements, improving the efficiency and accuracy of power system simulation has become an important research topic. the sparse LU factorization is one of the key modules of the sparse direct solver, which usually plays a dominant role in the solving time of the sparse linear algebra equation of power system. In order to improve the efficiency of sparse LU factorization, we propose: 1) an adaptive mode partition strategy based on GLU, and select the mode to be used according to the characteristics of the matrix to be decomposed, which improves the computational efficiency of LU factorization;2) a dynamic Nstream value taking method for the stream pattern, which determines the number of streams to be used based on the dimensions of the sub-matrix, 3) a pipeline model for the continuous layer with the size of 1 in GLU, which improves the parallelism of sparse LU factorization and helps to improve the computing efficiency. the results show that the proposed improvement can achieve better results, and the speed of LU factorization is increased by more than 30% on rajatl2 and circuit_2. © the Institution of Engineering & Technology 2023.

关键词： Computational efficiency

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Image and Graphics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Huchuan Lu Risheng Liu Wanli Ouyang Hui Huang Jiwen Lu Jing Dong Min Xu

ISBN: (数字)9783031463174

ISBN: (纸本)9783031463167

关键词： Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks pattern recognition

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High performance computing in image processing and computer vision

High performance computing in image processing and computer ...

引用

international conference on pattern recognition

作者： J.A. Webb School of Computer Science Carnegie Mellon University Pittsburgh PA USA

Image processing and computer vision are natural applications for high performance computing (here considered to be general-purpose parallel supercomputing), but there are many barriers to its effective use in computer vision. these barriers are described, two systems (the Carnegie Mellon ALVINN system and the animate vision model at Rochester) that overcame them are discussed, and then a world-wide survey is taken of application of HPC to image processing and computer vision. Finally, the future of this field is described.

关键词： High performance computing Image processing Computer vision Application software Delay Robot vision systems Computer aided manufacturing Scientific computing Supercomputers Costs

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