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检索条件"任意字段=Conference on Visual Communications and Image Processing"

共 3469 条记录，以下是351-360 订阅

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Learning Adaptive Filter Banks for Hierarchical image Representation

Learning Adaptive Filter Banks for Hierarchical Image Repres...

引用

IEEE visual communications and image processing conference

作者： Yang, Ping Shi, Yunhui Ding, Wenpeng Sun, Xiaoyan Yin, Baocai Beijing Univ Technol Coll Metropolitan Transportat Univ Beijing Municipal Key Lab Multimedia & Intel Beijing 100124 Peoples R China Microsoft Res Asia Internet Media Grp Beijing 100080 Peoples R China

ISBN: (纸本)9781479961399

Conventional hierarchical image representation methods, e.g. Wavelet transform, use pre-determined filter banks which lack in adaption to the variant statistical characteristics of images. In this paper, we propose learning adaptive filter banks for hierarchical sparse image representation with a wavelet-like compact form using a deconvolutional network. The proposed scheme is verified by evaluating its sparsity in image representation. Experimental results demonstrate that the proposed scheme outperforms 9/7 and 5/3 wavelets transform in terms of both objective and subjective qualities under the same sparsity.

关键词： convolution sparse coding learning filters wavelet transform hierarchical image representation

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Gaussian Distributed Deployment of Relay Nodes for Wireless visual Sensor Networks

Gaussian Distributed Deployment of Relay Nodes for Wireless ...

引用

IEEE Global communications conference (GLOBECOM)

作者： Li, Hailong Pandit, Vaibhav Agrawal, Dharma P. Univ Cincinnati Sch Comp Sci & Informat Cincinnati OH 45221 USA

ISBN: (纸本)9781467309219;9781467309202

The visual sensing capability of a visual Sensor Network (VSN) makes it a very effective tool for applications such as large scale surveillance, environmental monitoring and object tracking. The image sensing, processing and storing functions of the VSN, combined with its function of transmitting and forwarding data towards the sink, consumes more energy and increases the well known energy-hole problem in the network. In this paper, we propose to deploy a Gaussian distributed relay network over pre existing uniform random VSN so as to avoid the energy-hole problem. By forming a heterogeneous wireless sensor network with low-cost relay nodes (RNs), lifetime of the VSN is prolonged with minimal additional cost. We use the energy model of image compression enabled VSNs and determine optimal parameters for the Gaussian deployment of the relay network.

关键词： Gaussian distribution data compression image coding relay networks (telecommunication) telecommunication network reliability visual communication wireless sensor networks

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Fast Multiple-view Denoising Based on image Reconstruction by Plane Sweeping

Fast Multiple-view Denoising Based on Image Reconstruction b...

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IEEE visual communications and image processing conference

作者： Miyata, Mari Kodama, Kazuya Hamamoto, Takayuki Tokyo Univ Sci Grad Sch Engn Katsushika Ku Niijuku 6-3-1 Tokyo 1258585 Japan Res Org Informat & Syst Natl Inst Informat Chiyoda Ku Tokyo 1018430 Japan

ISBN: (纸本)9781479961399

Denoising is important in image processing because degradation by noise affects not only the quality of captured images but also the performance of visual applications that use them. For example, under low light levels, it is difficult to accurately estimate scene depths using noisy stereo images. Conventional methods for denoising find similar regions on an image or among multiple images by block matching(BM) to integrate them for suppressing noise effectively. However, such exhaustive BM incurs considerable costs for real-time applications, in particular, when multi-view images(MVI) are involved. We use view-dependent plane sweeping(PS) for image reconstruction to achieve effective MVI denoising with low computational cost. We use PS for converting MVI to multi-focus images(MFI) to suppress their noise. Then, we find regions in focus on the MFI solely by comparing them with the target view image. Finally, we simply merge the regions to obtain reconstructed images in which their noise is effectively suppressed.

关键词： image reconstruction noise multiple-view plane sweeping high-speed

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Detection of Tuberculosis Bacteria with Microscopic image Analysis

Detection of Tuberculosis Bacteria with Microscopic Image An...

引用

21st Signal processing and communications Applications conference (SIU)

作者： Guven, Selen Ekinci, Murat Karadeniz Tech Univ Bilgisayar Muhendisligi Bolumu Trabzon Turkey

ISBN: (纸本)9781467355636;9781467355629

The proposal of World Health Organization (WHO) for a basic and preliminary technique of diagnosing tuberculosis disease is based upon visual examination in microscopic image sequences of sputum samples stained with ZN-stain procedure. This examination which requires spending considerable time for specialists causes a significant increase in laboratorians' workload, misdiagnosis and loss of time. Therefore, in this paper a new method for automatic detection of TB bacteria from microscopic images is proposed. RGB color distribution of bacterial regions which is sampled in training period is performed to learning by using multi dimensional Gaussian distribution function. The Mahalanobis distances of training samples in multi dimensional color space are taking into account and noisy data in distribution space is removed from training set. After the image segmentation in testing images based on trained distribution function, image is restorated with morphological image processing. Then artificial neural network model is used for shape-based recognition. The performance of system is evaluated using some criteria.

关键词： tuberculosis Ziehl-Neelsen stain method gaussian distribution function artificial neural network

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Subjective coding of best basis wavelet coefficients for multiresolution analysis

Subjective coding of best basis wavelet coefficients for mul...

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1997 International conference on Information, communications and Signal processing - Trends in Information Systems Engineering and Wireless Multimedia communications

作者： Gunawan, D Univ Indonesia Dept Elect Engn Depok 16424 Indonesia

ISBN: (纸本)0780336763

This paper presents a wavelet based image compression algorithm using subjective thresholding and quantization of the wavelet coefficients. Subjective compression techniques use the properties of the Human visual System (HVS) to eliminate redundant information in an image. By combining the wavelet transform coefficients with psychovisual thresholding and quantization schemes, a coding result of 0.31 bits per pixels has been obtained with weighted PSNR of 39.07 dB.

关键词： image coding

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MPEG-7 and image understanding systems

MPEG-7 and image understanding systems

引用

conference on visual communications and image processing 2003

作者： Kuvich, G Smart Computer Vision Systems (United States)

ISBN: (纸本)0819450235

Inexpensive computer hardware and optical devices has made image/video applications available even for private individuals. This has created a huge demand for image and multimedia databases and other systems, which work with visual information. Analysis of visual information has not been completely formalized and automated yet. The reason for that is a long tradition of separation of vision and knowledge subsystems. However, brain researches show that vision is a part of a larger information system that converts visual information into knowledge structures. These structures drive vision process, resolve ambiguity and uncertainty in real images via feedback projections, and provide image understanding that is an interpretation of visual information in terms of such knowledge models. It is hard to split such system apart. Vision mechanisms can never be completely understood separately from the informational processes related to knowledge and intelligence. MPEG-7 is an industry-wide effort to incorporate knowledge into image/video code. This article describes basic principles of integration low-level image processing with high-level knowledge reasoning, and shows how image Understanding systems can utilize MPEG-7 standard. Such applications can add to the standard the power of image understanding.

关键词： image video understanding network symbolic models knowledge vision systems MPEG-7

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An MRF Framework For Co-Solving image Segmentation and Border Ownership 23

An MRF Framework For Co-Solving Image Segmentation and Borde...

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23nd Signal processing and communications Applications conference (SIU)

作者： Karadag, Ozge Oztimur Akkus, Mehmet Akif Kalkan, Sinan Vural, Fatos T. Yarman Akdeniz Univ Bilgisayar Muhendisligi Bolumu Antalya Turkey Orta Dogu Tekn Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey Orta Dogu Tekn Univ Bilgisayar Muhendisligi Bolumu Ankara Turkey

ISBN: (纸本)9781467373869

image segmentation and border ownership assignment are two widely studied areas in the computer vision literature. It is well known that both the segmentation and the border ownership assignment play an important role in the visual perception. In this study, a Markov Random Fields model which provides a dual solution for the segmentation and the border ownership assignment is proposed. The proposed system is analyzed both quantitatively and qualitatively.

关键词： image segmentation border ownership Markov Random Fields

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An embedded image coding algorithm using set partitioning in block trees of wavelet coefficients

An embedded image coding algorithm using set partitioning in...

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conference on visual communications and image processing 2002

作者： Yang, CM Ho, YS Kwangju Inst Sci & Technol Dept Informat & Commun Visual Commun Lab Puk Gu Kwangju 500712 South Korea

ISBN: (纸本)0819444111

In this paper, we propose a simple but efficient wavelet-based embedded image coder that employs a new inter-band magnitude relationship in the wavelet coefficients and block trees. The proposed scheme includes multi-level dyadic wavelet decomposition, raster scanning within each subband, formation of block trees, partitioning of block trees and adaptive arithmetic entropy coding. Although the proposed scheme is simple, it produces a bitstream with a rich set of features, including SNR scalability and the embedded nature. Experimental results demonstrate that the new scheme is quite competitive to and outperforms other good image coders in the literature.

关键词： wavelet transform image coding block tree block partitioning

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Design of 3D image visual Communication System Based on Computer image Technology 4th

Design of 3D Image Visual Communication System Based on Comp...

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4th International conference on Machine Learning, image processing, Network Security and Data Sciences (MIND)

作者： Gou, Shuangxiao Mei, Ling Chongqing Univ Arts & Sci Coll Fine Arts & Design Chongqing 402160 Peoples R China Chongqing Water Resources & Elect Engn Coll Large Data Inst Chongqing 402160 Peoples R China

ISBN: (纸本)9783031243660;9783031243677

Computer imaging technology is a kind of use of digital photography, using a computer as amedium to realize interactive communication and interaction between humans and machines through the collection and processing of images and the editing and storage of graphic information. The purpose of this paper to study the design of the 3D image visual communication system based on computer image technology is to improve the mastery of 3D image technology and design the visual communication system. This article mainly uses experimental and comparative methods to analyze the feature extraction situation of the 3D image visual communication system, and finds that the error of the improved RANSAC algorithm in image feature extraction is about 54%, while the unimproved algorithm and other algorithms The error is greater. This shows that the improved algorithm proposed in this paper is incomparable in the 3D image visual communication system.

关键词： Computer image technology 3-dimensional image visual communication System design

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Improving Tag Matrix Completion for image Annotation and Retrieval

Improving Tag Matrix Completion for Image Annotation and Ret...

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IEEE visual communications and image processing (VCIP) conference

作者： Qin, Zhen Li, Chun-Guang Zhang, Honggang Guo, Jun Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

ISBN: (纸本)9781467373142

image annotation is a fundamental and challenging task in the field of semantic image retrieval. In this paper, we deal with image annotation via matrix completion. Concretely, we formulate the problem of annotating the tags of an image into a constrained optimization problem, in which the constraint is to keep the consistency with the given initial labels and the objective is to minimize the discrepancy between the correlation in visual content and the correlation in semantic tags. We solve the optimization problem with the linearized alternating direction method. Experimental results on benchmark data demonstrate the effectiveness of our proposals.

关键词： image annotation matrix completion Tag Matrix Completion linearized alternating direction method tag based image retrieval

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