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检索条件"任意字段=2012 IEEE Visual Communications and Image Processing, VCIP 2012"

共 124 条记录，以下是61-70 订阅

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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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A visual comfort metric for stereoscopic 3D video based on SMDE approach

A visual comfort metric for stereoscopic 3D video based on S...

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2012 2nd ieee International Conference on Signal processing, communications and Computing, ICSPCC 2012

作者： Ye, Bi Zhou, Jun Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781467321938

visual comfort assessment for stereoscopic video is playing an important role for stereoscopic safety issue. In this paper, we propose a novel visual comfort assessment metric that utilizes interest regions detection approach, which is called Salient Motion Depth Extraction approach in our algorithm. In stereoscopic video shots, salient motion regions where human subjects focus on should have more weights in visual comfort assessment. To achieve better performance, our approach combines salient cues, motion cues with depth cues in order to extract salient motion regions in consideration of depth context. Our visual comfort assessment utilizes local analytical method based on attention model by analyzing disparity features in interest regions extracted by Salient Motion Depth Extraction approach. The experimental results have demonstrated that our proposed visual comfort assessment improves the correlation with the subjective assessment. © 2012 ieee.

关键词： Extraction

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Proposal for vcip 2012 tutorial on “image database visualisation and browsing”

Proposal for VCIP 2012 tutorial on “image database visualis...

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ieee visual communications and image processing (vcip)

作者： Gerald Schaefer Department of Computer Science Loughborough University Loughborough U.K.

This tutorial discuss the following: Content-based image retrieval - progress and challenges; Retrieval vs. visualisation and browsing; image database visualisation through dimensionality reduction; image database visualisation on graphs and networks; Time-based image database visualisation and hybrid visualisation approaches; Horizontal image database browsing; Vertical image database browsing; Immersive image database browsing; Evaluating image database browsing systems;image database browsing-challenges and future directions.

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visual Depth Guided image Rain Streaks Removal Via Sparse Coding

Visual Depth Guided Image Rain Streaks Removal Via Sparse Co...

引用

ieee International Symposium on Intelligent Signal processing and communications Systems (ISPACS)

作者： Chen, Duan-Yu Chen, Chien-Cheng Kang, Li-Wei Yuan Ze Univ Dept Elect Engn Tao Yuan Taiwan Acad Sinica Inst Informat Sci Taipei Taiwan

ISBN: (纸本)9781467350839;9781467350815

Rain removal from an image is a challenging problem since no motion information can be obtained from successive images. In this work, an input image is first decomposed into low-frequency part and high-frequency part by using guided image filter. So that the rain streaks would be in the high-frequency part with non-rain textures, and then the high-frequency part is decomposed into a "rain component" and a "non-rain component" by performing dictionary learning and sparse coding. To separate rain streaks from high-frequency part, a hybrid feature set is exploited which includes histogram of gradient (HoG) and difference of depth (DoD). With the hybrid feature set applied, most rain streaks can be removed;meanwhile, non-rain components can be enhanced. Compared with the state-of-the-art method [12], our proposed approach shows that not only the rain components can be removed more effectively, but also the visual quality of restored images can be improved.

关键词： rain removal sparse representation dictionary learning image decomposition difference of depth

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A fast dynamic range compression with local contrast preservation algorithm for low dynamic range image enhancement

A fast dynamic range compression with local contrast preserv...

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2012 2nd ieee International Conference on Signal processing, communications and Computing, ICSPCC 2012

作者： Tsai, Chi-Yi Department of Electrical Engineering Tamkang University No. 151 Yingzhuan Road Tamsui District New Taipei City 25137 Taiwan

ISBN: (纸本)9781467321938

This paper presents a new fast dynamic range compression format with a local-contrast-preservation (FDRCLCP) algorithm to efficiently resolve low dynamic range (LDR) image enhancement problem for natural color images. The proposed FDRCLCP algorithm can combine with any continuously differentiable intensity transfer function to achieve LDR image enhancement. In combination with the FDRCLCP algorithm, a new intensity-transfer function that achieves satisfactory dynamic-range compression while preventing over enhancement in dark regions of the image is proposed. Experimental results validate that the proposed method provides better visual representation in comparison with two existing methods. © 2012 ieee.

关键词： Transfer functions

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Defects detection of weld image based on mathematical morphology and thresholding segmentation

Defects detection of weld image based on mathematical morpho...

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2012 8th International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2012

作者： Tong, Tong Yan, Cai Dawei, Sun School of Materials Science and Engineering Shanghai Jiao Tong University Shang Hai China

ISBN: (纸本)9781612846835

Detection of welding defects is a key part of industrial production. Conventional image processing algorithms can not perfectly capable when weld defects or their background are complicated, for which adaptability of image processing algorithm is critical, efficient algorithm of defects was employed after characteristics of weld is fully analyzed. The first key method is based on mathematical morphology theories to enhance the contrast of small size defects. A new iterative threshold algorithm is used as second kernel for better image segmentation. Experimental results show that the combined method could meet high requirements of visual detection for weld defects. © 2012 ieee.

关键词： image enhancement

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A Quality-Preserving Hidden Information Removal Approach for Digital images

A Quality-Preserving Hidden Information Removal Approach for...

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ieee International Conference on communications (ICC)

作者： Rezaei, Fahimeh Hempel, Michael Shrestha, Pradhumna Lal Ma, Tao Peng, Dongming Sharif, Hamid Univ Nebraska Dept Comp & Elect Engn Lincoln NE 68583 USA

ISBN: (纸本)9781457720536

In this paper, we introduce a novel algorithm to destroy the steganographic information embedded in an image without changing the quality of the image and with no prior knowledge of the used steganography scheme. We propose the new Neighbor Class Displacement (NCD) algorithm, which arranges the pixels of an image into a given number of classes. The elements of two specific classes are substituted with each other based on different conditions related to the content of the class elements. For evaluating the effectiveness of our attack, we apply NCD to different steganographically modified images to remove the embedded hidden information. Our results show that over 40% of the steganography bits are toggled in natural images by our proposed attack algorithm, which means the hidden information is removed effectively. Additionally, the visual quality of the images does not change and the PSNR of the original and attacked images is above 32 dB. We compare our attack to other signal processing and geometrical attacks and show that our NCD scheme outperforms other steganography attack algorithms while maintaining the quality of the host image.

关键词： Watermarking Steganography Hidden Information Attacks Desynchronization Digital image

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User-adaptive mobile video streaming

User-adaptive mobile video streaming

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ieee visual communications and image processing (vcip)

作者： Yuriy Reznik Ed Asbun Zhifeng Chen Yan Ye Eldad Zeira Rahul Vanam Zheng Yuan Greg Sternberg Ariela Zeira Naresh Soni InterDigital Communications LLC San Diego CA

Summary form only given. We describe the design of a mobile streaming system, which optimizes video delivery based on dynamic analysis of user behavior and viewing conditions, including user proximity, viewing angle, ... 详细信息

关键词： Streaming media Mobile communication visualization Encoding Abstracts Video coding Sensitivity

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Compressive Sensing image Coding with Perceptual Weighting Measuring Matrix

Compressive Sensing Image Coding with Perceptual Weighting M...

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9th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2012

作者： Song, Yundong Wang, Yongfang Shang, Xiwu Zhang, Zhaoyang Shanghai Univ Sch Commun & Informat Engn Shanghai 200072 Peoples R China

ISBN: (纸本)9783642345944

Compressive sensing is a new technology, which combines data sampling with compressing. Many applications of compressive sensing in image processing and computer vision are being explored. In this paper, we propose a compressive sensing image coding scheme with weighting measuring matrix based on just noticeable distortion, where image coefficients have been adaptively weighted according to their different visual significances. Simulation results demonstrate that the proposed method can greatly improve the quality of the reconstructed image compared with the existing algorithm.

关键词： Compressive Sensing Just noticeable distortion model Measuring Matrix Weighting Function

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Pallet recognition and localization method for vision guided forklift

Pallet recognition and localization method for vision guided...

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8th International Conference on Wireless communications, Networking and Mobile Computing (WiCOM)

作者： Chen, Gang Peng, Rui Wang, Zhicheng Zhao, Weidong Tongji Univ Engn Res Ctr Enterprise Digital Technol Shanghai 20092 Peoples R China Tongji Univ CAD Res Ctr Shanghai 20092 Peoples R China

ISBN: (纸本)9781612846835;9781612846828

For navigating automatic forklift, we proposed an method for locating of the forklift. To improve efficiently of image processing and robust of object identification, the color image is transformed from RGB space into HSV and YUV space. Afterwards, we find out the mid-point of the pallets, calculate position of pallets relative to forklift by camera space model which builds the relationship between image space and real world space. In order to improve system speed, we use the Kalman filter to decrease the processing data. Experiment results indicate that our method has good performance in improving accuracy and efficiency of localization.

关键词： image processing visual guidance Kalman filter

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