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检索条件"任意字段=2011 IEEE Visual Communications and Image Processing, VCIP 2011"

共 196 条记录，以下是1-10 订阅

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2011 ieee visual communications and image processing, vcip 2011

2011 IEEE Visual Communications and Image Processing, VCIP 2...

引用

2011 ieee visual communications and image processing, vcip 2011

ISBN: (纸本)9781457713200

The proceedings contain 141 papers. The topics discussed include: improved rate-adaptive codes for distributed video coding;adaptive raster scan for slice/frame coding;video deblurring algorithm using an adjacent unblurred frame;fast disparity estimation for multi-view plus depth video coding;real-time forward error correction for video transmission;quantitative assessment of 2D versus 3D visualization modalities;image matting based on mutual information;priority pyramid based bit allocation for multiview video coding;interactive object segmentation using iterative adjustable graph cut;unequal channel error protection of multiple description codes for wireless media streaming;image indexing using 3D model for image retrieval;compressive sensing based video scrambling for privacy protection;weighted sparse coding residual minimization for visual tracking;and a novel high efficiency fixed length coding for video compression based on symbol probability estimation.

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Gauss-Laguerre keypoints descriptors for color images

Gauss-Laguerre keypoints descriptors for color images

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Krylov, Andrey S. Sorokin, Dmitry V. Laboratory of Mathematical Methods of Image Processing Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Russia

ISBN: (纸本)9781457713200

Keypoints descriptors construction algorithm for color images is introduced. The algorithm is based on multiscale Gauss-Laguerre circular harmonic functions expansions of each image color component. The color components are obtained from color invariance model derived from Kubelka-Munk photometric reflectance theory. The matching results of proposed algorithm confirm the importance of color information for keypoints descriptors construction. © 2011 ieee.

关键词： Color

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Recent progress on perceptual video coding

Recent progress on perceptual video coding

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Su, Po-Yen Huang, Yi-Hsin Ou, Tao-Sheng Chen, Homer H. Graduate Institute of Communication Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9781457713200

The purpose of this technical demonstration is to show how the compressed video quality can be improved by taking the characteristics of human visual system into account in the rate distortion optimization and rate control processes of a video encoder. Both the R-D performance of the video encoder and the picture quality can be evaluated subjectively by the viewers in this demonstration to witness that perceptual video coding is indeed a promising direction for next generation video coding. © 2011 ieee.

关键词： image coding

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image matting based on mutual information

Image matting based on mutual information

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Zhou, Xiaozhou Boulanger, Pierre Department of Computing Science University of Alberta Edmonton AB T6G 2E8 Canada

ISBN: (纸本)9781457713200

In this paper, we propose a novel framework to solve the image matting problem. We design a temporary image based on the estimated foreground and background colors for unknown pixels as well as an initial matte. The similarity of the temporary image and original image is modeled as an energy function in the Markov Random Field (MRF). The global optimized matte is obtained by minimizing the energy function. Therefore, image matting is converted to how to maximize the similarity of the original image and the temporary image. The experiments demonstrate that the proposed method could produce high quality mattes and it is also more effective compared to other top ranking methods. © 2011 ieee.

关键词： Markov processes

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image reconstruction from random samples with parametric and nonparametric modeling

Image reconstruction from random samples with parametric and...

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Zhai, Guangtao Yang, Xiaokang Institute of Image Processing and Information Communications Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9781457713200

Statistical image modeling is essential for many image processing tasks that are ill-posed in nature. Existing image models can be categorized as parametric models and nonparametric models according to the statistical techniques used. In this paper, we develop a new image reconstruction algorithm from sparse random samples based on hybrid parametric and nonparametric modeling of images. More specifically, the modeling strength of the parametric and nonparametric techniques are combined within a multiscale framework where the parametric and nonparametric image models are used to solve the interscale and intrascale estimation problems, respectively. The proposed algorithm is capable of recovering the image from very sparse samples (e.g. 5%), and experimental results suggest the proposed algorithm achieves significant improvement over existing pure parametric and nonparametric based approaches both in terms of PSNR and subjective qualities of the reconstruction results. © 2011 ieee.

关键词： image reconstruction

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SALIENT OBJECT DETECTION IN image SEQUENCES VIA SPATIAL-TEMPORAL CUE

SALIENT OBJECT DETECTION IN IMAGE SEQUENCES VIA SPATIAL-TEMP...

引用

ieee International Conference on visual communications and image processing (vcip)

作者： Gan, Chuang Qin, Zengchang Xu, Jia Wan, Tao Tsinghua Univ Inst Interdisciplinary Informat Sci Beijing 100084 Peoples R China Beihang Univ Intelligent Comp & Machine Learning Lab Beijing Peoples R China Beihang Univ Sch Biol Sci & Med Engn Beijing Peoples R China

ISBN: (纸本)9781479902880

Contemporary video search and categorization are non-trivial tasks due to the massively increasing amount and content variety of videos. We put forward the study of visual saliency models in video. Such a model is employed to identify salient objects from the image background. Starting from the observation that motion information in video often attracts more human attention compared to static images, we devise a region contrast based saliency detection model using spatial-temporal cues (RCST). We introduce and study four saliency principles to realize the RCST. This generalizes the previous static image for saliency computational model to video. We conduct experiments on a publicly available video segmentation database where our method significantly outperforms seven state-of-the-art methods with respect to PR curve, ROC curve and visual comparison.

关键词： object detection saliency spatial-temporal cue

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Separation of superimposed images with unknown motions using sparsity priors

Separation of superimposed images with unknown motions using...

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Yan, Qing Yang, Xiaokang Xu, Yi Institute of Image Communication and Information Processing Shanghai Key Lab of Digital Media Processing and Transmission Shanghai China

ISBN: (纸本)9781457713200

When people take photos through a transparent surface, it is ubiquitous that the images are superimposed with two source images, the transmitted layer and the reflected layer. In this paper, we utilize the sparsity priors over image color distribution and image gradients, and we realize the separation of such images by exploiting the diversity (relative motions of source images) in different snapshots. Our approach can estimate the motion even when layer image is quite faint, extract layer gradients when layer intensity is unchanged, and obtain a reliable separation by considering the gradients as limitations. The effectiveness of our approach is shown in experiments on both synthetic images and real world photos. © 2011 ieee.

关键词： Separation

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Perceptual multi-cues 2D-to-3D conversion system

Perceptual multi-cues 2D-to-3D conversion system

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Li, Chung-Te Lai, Yen-Chieh Wu, Chien Chen, Liang-Gee Graduated Institute of Electronic Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9781457713200

The concept of perceptual integration of multiple depth cues is proposed for converting 2D videos to 3D videos. Several monocular depth cues have been explored to reconstruct 3D videos. We propose reliability-based promotion and fusion of depth cues for an automatic reconstruction of 3D videos in this demo by mimicking how human visual system does. © 2011 ieee.

关键词： image reconstruction

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visual system using ray-based image sensors and electronic holography display toward ultra-realistic communication

Visual system using ray-based image sensors and electronic h...

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Yamamoto, Kenji National Institute of Information and Communications Technology 4-2-1 Nukui-Kitamachi Koganei Tokyo 184-8795 Japan

ISBN: (纸本)9781457713200

This paper introduces two 3D visual systems using ray-based image sensors and electronic holography display toward ultra-realistic communication. The first system uses integral photography for the capture of ray information at slightly separated locations. The second system uses camera array that includes 300 cameras to capture ray information at more sparse locations than integral photography. Both systems use electronic holography as an ideal 3D display. Since spatial light modulators are currently inadequate specifications for electronic holography, the setup to remove disturbing light is necessary, which we implemented in both systems. © 2011 ieee.

关键词： image sensors

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image retargeting based on the sensitivity-tuned visual significance map

Image retargeting based on the sensitivity-tuned visual sign...

引用

2011 ieee visual communications and image processing, vcip 2011

作者： Fang, Yuming Chen, Zhenzhong Lin, Weisi Lin, Chia-Wen Tsai, Chia-Ming School of Computer Engineering Nanyang Technological University 639798 Singapore Singapore School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Singapore National Tsing Hua University Hsinchu 30013 Taiwan

ISBN: (纸本)9781457713200

In this paper, we propose a novel image retargeting algorithm based on the sensitivity-tuned visual significance map which is composed of a saliency map and a gradient map. We develop a new saliency detection model based on the human visual sensitivity and amplitude spectrum of image patches. We use a coherent normalization based fusion method to combine the saliency map and the gradient map to generate the visual significance map. The seam carving technique is adopted for image retargeting, based on the sensitivity-tuned visual significance map. Experiment results show that the proposed algorithm outperforms the relevant state-of-the-arts image retargeting algorithms significantly. © 2011 ieee.

关键词： Context Educational institutions Humans image color analysis Retina Sensitivity visualization

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