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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81-90 订阅

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A new casccaded secret image sharing scheme

A new casccaded secret image sharing scheme

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2012 20th Signal processing and communications Applications Conference, SIU 2012

作者： Ulutaş, Güzin Ulutaş, Mustafa Nabiyev, Vasif V. Bilgisayar Mühendisliǧi Bölümü Karadeniz Teknik Üniversitesi Turkey

ISBN: (纸本)9781467300568

Secret image sharing based on Shamir's secret sharing scheme provides fault tolerance and trust to group policy during transmission of secret images over networks. After its initial use, research is focused on improving both visual quality of stego images accommodating shared values and authentication mechanism ensuring correctness of stego images. Most of the methods use LSB embedding to hide shared values and authentication bits into cover images. Reversible steganography is used with LSB embedding and Shamir's scheme to make shares meaningful in this paper. LSB embedding is used to generate an intermediate stego image hiding most significant four bits of the elements of shared values vector. Least significant four bits of the elements and authentication value generated for shared values vector are embedded into the histogram of the intermediate stego image using reversible Steganography. Proposed secheme ensures improved PSNR compared to other works reported in the literature by using both LSB embedding and reversible Steganography together. Experimental results indicate that stego images have approximately 48 dB PSNR. © 2012 ieee.

关键词： Fault tolerance

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Efficient depth video coding based on view synthesis distortion estimation

Efficient depth video coding based on view synthesis distort...

引用

ieee visual communications and image processing (vcip)

作者： Tae-Young Chung Won-Dong Jang Chang-Su Kim School of Electrical Engineering Korea University Seoul Korea

An efficient coding algorithm for depth map images and videos, based on view synthesis distortion estimation, is proposed in this work. We first analyze how a depth error is related to a disparity error and how the disparity vector error affects the energy spectral density of a synthesized color video in the frequency domain. Based on the analysis, we propose an estimation technique to predict the view synthesis distortion without requiring the actual synthesis of intermediate view frames. To encode the depth information efficiently, we employ a Lagrangian cost function to minimize the view synthesis distortion subject to the constraint on a transmission bit rate. In addition, we develop a quantization scheme for residual depth data, which adaptively assigns bits according to block complexities. Simulation results demonstrate that the proposed depth video coding algorithm provides significantly better R-D performance than conventional algorithms.

关键词： PSNR Video coding image color analysis Encoding Estimation Quantization Vectors

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image registration by using a descriptor for repetitive patterns

Image registration by using a descriptor for repetitive patt...

引用

ieee visual communications and image processing (vcip)

作者： Seong Jong Ha Seyun Kim Nam Ik Cho INMC Seoul National University Seoul S. Korea

This paper proposes a new feature-based image registration method based on the description of feature clusters. This method can find larger number of correspondences than the conventional methods using singleton feature descriptors, which often fail in repetitive patterns. The reason for the failure of conventional methods in a repeating pattern is due to the existence of too many similar features, which in turn gives geometrically inconsistent matching or do not survive ratio test. Hence the proposed method follows the strategy that first separate the similar features from the repetitive patterns from the others. Then the similar features in a pattern are grouped into a set that is described by a support vector descriptor in terms of the cluster's center and radius. Once the same pattern in different images are matched, the geometric cue is added to find many geometrically consistent correspondences of the features. In the experiments, it has been demonstrated that the larger number of geometrically consistent correspondences from the repetitive pattern give more accurate registration, and thus more pleasing results in image stitching and panoramic image generation.

关键词： Feature extraction image registration Pattern matching Buildings Topology Support vector machines Agriculture

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visual Quality in Stereoscopic 3DTV

Visual Quality in Stereoscopic 3DTV

引用

46th Asilomar Conference on Signals, Systems and Computers

作者： Palaniappan, Ramanathan Jayant, Nikil Mane, Pravin Georgia Inst Technol Sch ECE Atlanta GA 30332 USA VQLink Inc Atlanta GA 30308 USA

ISBN: (纸本)9781467350518

Georgia Tech has an ongoing research program in multimedia communications, including visual quality assessment in 3DTV. As part of our 3D related research, we have studied the response of the human visual system to compressed 3D sequences and compared the visibility of artifacts in 3D and 2D views (individual left-eye and right-eye views) over a broad range of bitrates. Using mean opinion score (MOS) as the metric, we have conducted subjective tests as well as HVS-tuned objective measurements needed to perform the 2D vs 3D comparison. Our initial results show that there exists a bitrate threshold above which compression artifacts tend to get suppressed in the 3D view when compared to the 2D view. Our tests also show that this artifact suppression threshold is content dependent.

关键词： data compression image segmentation image sequences multimedia communication stereo image processing three-dimensional television video coding

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A novel particle filtering framework for 2D-TO-3D conversion from a monoscopic 2D image sequence

A novel particle filtering framework for 2D-TO-3D conversion...

引用

ieee visual communications and image processing (vcip)

作者： Jing Huang Dan Schonfeld Department of Electrical and Computer Engineering University of Illinois at Chicago

This paper presents a novel 2D-TO-3D conversion approach from a monoscopic 2D image sequence. We propose a particle filter framework for recursive recovery of point-wise depth from feature correspondences matched through image sequences. We formulate a novel 2D dynamics model for recursive depth estimation with the combination of camera model, structure model and translation model. The proposed method utilizes edge-detection-assisted scale-invariant features to avoid lack of edge features in scale-invariant features (SIFT). Furthermore, the depths in the depth map are computed and interpolated using 2D Delaunay triangulation. Finally, a stereo-view generation algorithm is presented for multiple users that uses proposed dynamics model and particle filter framework. Experimental results show that our proposed framework yields superior results.

关键词： image edge detection Vectors Cameras image sequences Feature extraction Estimation image color analysis

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Context-aware single image super-resolution using locality-constrained group sparse representation

Context-aware single image super-resolution using locality-c...

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ieee visual communications and image processing (vcip)

作者： Chih-Yun Tsai De-An Huang Min-Chun Yang Li-Wei Kang Yu-Chiang Frank Wang Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Institute of Information Science Academia Sinica Taipei Taiwan

We present a novel learning-based method for single image super-resolution (SR). Given a single input low-resolution (LR) image (and its image pyramid), we propose to learn context-specific image sparse representation, which aims at modeling the relationship between low and high-resolution image patch pairs of different context categories in terms of the learned dictionaries. To predict the SR image, we derive the context-specific sparse representation of each image patch in the LR input with additional locality and group sparsity constraints. While the locality constraint searches for the most similar image patches and uses the corresponding highresolution outputs for SR, the group sparsity constraint allows us to utilize the information from most relevant context categories for predicting the final SR output. Experimental results show the proposed method is able to quantitatively and qualitatively achieve state-of-the-art performance.

关键词： image resolution image segmentation Dictionaries Vectors Signal resolution Context image reconstruction

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A patch-based framework for detecting abnormal activities with a PTZ camera

A patch-based framework for detecting abnormal activities wi...

引用

ieee visual communications and image processing (vcip)

作者： Yisi Tao Yuanzhe Chen Weiyao Lin Xintong Han Hongxiang Li Zheng Lu Department of Electronic Engineering Shanghai Jiao Tong University China Department of Electrical and Computer Engineering University of Louisville USA

In this paper, a novel patch-based (PB) framework is proposed for detecting abnormal activities using a Pan-Tilt-Zoom (PTZ) camera. We first propose a new scene-patch-based (SSB) algorithm which can efficiently extract the target object's global trajectory from the PTZ camera. Furthermore, we propose an extended network-based (ENB) algorithm for detecting abnormal activities. The proposed ENB algorithm models the entire scene as a network where each node in the network corresponds to a patch of the scene and each edge between nodes corresponds to the activity correlation between the scene patchs. Based on this network, a recursive training strategy is proposed to train the edge weights in the network such that abnormal activities can be effectively detected through these trained edge weights. Experimental results demonstrate the effectiveness of our proposed framework.

关键词： Trajectory Cameras Amplitude modulation Training image edge detection Target tracking Algorithm design and analysis

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C22. Enhanced fusion for Infrared and visible images

C22. Enhanced fusion for Infrared and visible images

引用

2012 29th National Radio Science Conference, NRSC 2012

作者： Soliman, R.F. Amin, M. El-Samie, F.E. Abd Mathematics Department Faculty of Science Menoufia University Shebin El-Koom 32511 Egypt Department of Electronics and Electrical Communications Faculty of Electronic Engineering Menoufia University 32952 Menouf Egypt

ISBN: (纸本)9781467318853

An enhanced fusion technique for Infrared (IR) and visible images, which is based on the curvelet transform and homomorphic processing using the additive wavelet transform, is presented in this paper. The idea behind this technique is based on fusing the IR and visible images using the curvelet transform, and then decomposing the fused image into sub-bands in an additive fashion using the additive wavelet transform. The homomorphic enhancement is performed on each sub-band, separately. Finally, an inverse additive wavelet transform is performed on the homomorphic enhanced sub-bands to get an enhanced fused image with better visual details. The simulation results with real IR and visible images show that the proposed technique effectively enhances IR targets and preserves the details of visible images. © 2012 ieee.

关键词： image fusion

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An adaptive covariance-based edge diffusion image enlargement method

An adaptive covariance-based edge diffusion image enlargemen...

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ieee visual communications and image processing (vcip)

作者： Tao Fan Haiwu Zhao Guozhong Wang Jianwen Chen Feng Xu John Villasenor Shanghai University School of Communication and Information Engineering Shanghai China University of California Los Angeles Department Electrical Engineering Los Angeless CA USA

We discuss image or video enlargement methods aimed at computationally constrained environments. Traditional enlargement algorithms such as linear or cubic interpolation have been applied in many applications. However the performance of these approaches is limited by artifacts such as blurring and jagged edges. More sophisticated iterative and learning-based algorithms have been proposed to address these issues, but they typically involve very high computational complexity. We present an adaptive covariance-based edge diffusion (ACED) image enlargement method that offers both good performance and low complexity. Different from other edge-directed interpolation algorithms, the proposed method uses combination of a novel edge-directed judgment which can choose different spread templates adaptively to estimate local covariance coefficients and edge diffusion to reduce artifacts. Experimental results show that the proposed method gives performs well both in terms of subjective quality as well as objective measures.

关键词： image edge detection Interpolation image resolution Computational complexity Vectors Equations

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Recognition of multiple-food images by detecting candidate regions

Recognition of multiple-food images by detecting candidate r...

引用

2012 13th ieee International Conference on Multimedia and Expo, ICME 2012

作者： Matsuda, Yuji Hoashi, Hajime Yanai, Keiji Department of Informatics University of Electro-Communications Tokyo 1-5-1 Chofugaoka Chofu-shi Tokyo 182-8585 Japan

ISBN: (纸本)9781467316590

In this paper, we propose a two-step method to recognize multiple-food images by detecting candidate regions with several methods and classifying them with various kinds of features. In the first step, we detect several candidate regions by fusing outputs of several region detectors including Felzenszwalb's deformable part model (DPM) [1], a circle detector and the JSEG region segmentation. In the second step, we apply a feature-fusion-based food recognition method for bounding boxes of the candidate regions with various kinds of visual features including bag-of-features of SIFT and CSIFT with spatial pyramid (SP-BoF), histogram of oriented gradient (HoG), and Gabor texture features. In the experiments, we estimated ten food candidates for multiple-food images in the descending order of the confidence scores. As results, we have achieved the 55.8% classification rate, which improved the baseline result in case of using only DPM by 14.3 points, for a multiple-food image data set. This demonstrates that the proposed two-step method is effective for recognition of multiple-food images. © 2012 ieee.

关键词： image enhancement

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