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检索条件"任意字段=Conferenceon Visual Communications and Image Processing 2006"

共 107 条记录，以下是1-10 订阅

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Proceedings of SPIE - visual communications and image processing 2006 - Proceedings of SPIE-IS and T Electronic Imaging

Proceedings of SPIE - Visual Communications and Image Proces...

引用

visual communications and image processing 2006

ISBN: (纸本)0819461172

The proceedings contain 81 papers. Th topics discussed include: superresolution of texts from nonideal video;registration of aliased images for super-resolution imaging;toward a new video compression scheme using super-resolution;rate-distortion analysis of SP and SI frames;distributed sender driven video streaming;parallel multiple target tracking using multiple cooperative trackers;classification-based hybrid filters for image processing;a novel source rate control algorithm for video streaming over the Internet;shot boundary detection using scale invariant feature matching;a new segmentation approach using Gaussian color model and temporal information;and distortation fluctuation control for 3D wavelet-based video coding.

关键词： visual communication

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visual communications and image processing 2006 - Proceedings of SPIE - IS and T Electronic Imaging

Visual Communications and Image Processing 2006 - Proceeding...

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visual communications and image processing 2006

ISBN: (纸本)0819461172

关键词： visual communication

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Spatial detection of TV channel logos as outliers from the content

Spatial detection of TV channel logos as outliers from the c...

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conferenceon visual communications and image processing 2006

作者： Ekin, A Braspenning, R Philips Res Videa Proc & Visual Percept Grp Eindhoven Netherlands

ISBN: (纸本)0819461172

This paper proposes a purely image-based TV channel logo detection algorithm that can detect logos independently from their motion and transparency features. The proposed algorithm can robustly detect any type of logos, such as transparent and animated, without requiring any temporal constraints whereas known methods have to wait for the occurrence of large motion in the scene and assume stationary logos. The algorithm models logo pixels as outliers from the actual scene content that is represented by multiple 3-D histograms in the YCBCR space. We use four scene histograms corresponding to each of the four corners because the content characteristics change from one image corner to another. A further novelty of the proposed algorithm is that we define image corners and the areas where we compute the scene histograms by a cinematic technique called Golden Section Rule that is used by professionals. The robustness of the proposed algorithm is demonstrated over a dataset of representative TV content.

关键词： Detection and tracking algorithms Video image processing image segmentation Motion models 3D modeling Transparency Binary data image processing algorithms and systems Opacity

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Classification-based hybrid filters for image processing

Classification-based hybrid filters for image processing

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conferenceon visual communications and image processing 2006

作者： Hu, H de Haan, G Eindhoven Univ Technol Dolech 2 NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)0819461172

The paper proposes a new type of nonlinear filters, classification-based hybrid filters, which jointly utilize spatial, rank order and structural information in image processing. The proposed hybrid filters use a vector containing the observation samples in both spatial and rank order. The filter coefficients depend on the local structure of the image content, which can be classified based on the luminance pattern in the filter window. The optimal coefficients for each class are obtained by the Least Mean Square optimization. We show that the proposed classification-based hybrid filters exhibit improved performance over linear filters and order statistic filters in several applications, image de-blocking, impulsive noise reduction and image interpolation. Both quantitative and qualitative comparison have also been presented in the paper.

关键词： hybrid filter order statistic filter pixel classification de-blocking noise reduction image interpolation

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Robust global motion estimation in video stabilization for reducing visually induced motion sickness

Robust global motion estimation in video stabilization for r...

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conferenceon visual communications and image processing 2006

作者： Tsubaki, I Morita, T Aizawa, K Saito, T Kanagawa Univ High Tech Res Ctr Yokohama Kanagawa 2218686 Japan

ISBN: (纸本)0819461172

We present robust global motion estimation by MDPE algorithm for video stabilization. MDPE algorithm is a robust model fitting method, which has high breakdown point. We evaluate the performance of global motion estimation by robust model fitting methods, M-estimator, RANSAC and MDPE. An improvement of the MDPE for video stabilization is also presented. Finally, the video stabilization based on our robust global motion estimation is examined.

关键词： Motion estimation Video Motion models Cameras Data modeling Video processing visualization Motion detection image processing Reliability

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Extracting focused object from low depth-of-field image sequences

Extracting focused object from low depth-of-field image sequ...

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conferenceon visual communications and image processing 2006

作者： Park, J Kim, C Informat & Commun Univ Sch Engn Visual Informat Proc Lab 119 Munjiro Taejon 305714 South Korea

ISBN: (纸本)0819461172

The paper proposes a novel unsupervised video object segmentation algorithm for image sequences with low depth-of-field (DOF), which is a popular photographic technique enabling to represent the intention of photographer by giving a clear focus only on an object-of-interest (001). The proposed algorithm largely consists of two modules. The first module automatically extracts OOIs from the first frame by separating sharply focused OOIs from other out-of-focused foreground or background objects. The second module tracks OOIs for the rest of the video sequence, aimed at running the system in real-time, or at least, semi-real-time. The experimental results indicate that the proposed algorithm provides an effective tool, which can be a basis of applications, such as video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing systems.

关键词： object of interest low depth of field video object segmentation immersive video

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Spatially variant morphological image processing: Theory and applications

Spatially variant morphological image processing: Theory and...

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conferenceon visual communications and image processing 2006

作者： Bouaynaya, N Schonfeld, D Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA

ISBN: (纸本)0819461172

Originally, mathematical morphology was a theory of signal transformations which are invariant under Euclidean translations. An interest in the extension of mathematical morphology to spatially-variant (SV) operators has emerged due to the requirements imposed by numerous applications in adaptive signal (image) processing. This paper presents a general theory of spatially-variant mathematical morphology in the Euclidean space. We define the binary and gray-level spatially-variant basic morphological operators (i.e., erosion, dilation, opening and closing) and study their properties. We subsequently derive kernel representations for a large class of binary and gray-level SV operators in terms of the basic SV morphological operators. The theory of SV mathematical morphology is used to extend and analyze two important image processing applications: morphological image restoration and skeleton representation of binary images. For morphological image restoration, we obtain new realizations of adaptive median filters in terms of the basic SV morphological operators. For skeleton representation, we develop an algorithm to construct the optimal structuring elements, in the sense of minimizing the cardinality of the spatially-variant morphological skeleton representation. Experimental results show the power of the proposed theory of spatially-variant mathematical morphology in practical image processing applications.

关键词： spatially-variant mathematical morphology spatially-variant homomorphism theorem kernel representation adaptive median filter spatially-variant skeleton representation

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Predictive fast motion/disparity search for multiview video coding

Predictive fast motion/disparity search for multiview video ...

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conferenceon visual communications and image processing 2006

作者： Lai, PL Ortega, A Univ So Calif Signal & Image Proc Inst Dept Elect Engn Los Angeles CA 90089 USA

ISBN: (纸本)0819461172

We consider the problem of complexity reduction in motion/disparity estimation for multiview video coding. We propose predictive fast search algorithms that, after either the motion field or the disparity field has been estimated, obtain with low complexity a good set of candidate vectors for the other field. The proposed scheme performs predictive motion search from view to view and predictive disparity search from one time instant to another time. We also propose an efficient search pattern that starts with the candidate vectors from the proposed algorithms. Simulation results show a very significant reduction in encoding complexity with slight coding efficiency degradation as compared to the full search in both motion and disparity estimations.

关键词： multiview video coding predictive search motion/disparity estimation vector candidates

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Suprathreshold visual psychophysics and structure-based visual masking

Suprathreshold visual psychophysics and structure-based visu...

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conferenceon visual communications and image processing 2006

作者： Hemami, SS Chandler, DM Chern, BG Moses, JA Cornell Univ Sch Elect & Comp Engn Visual Commun Lab Ithaca NY 14853 USA

ISBN: (纸本)0819461172

Current state-of-the-art algorithms that process visual information for end use by humans treat images and video as traditional "signals" and employ sophisticated signal processing strategies to achieve their excellent performance. These algorithms also incorporate characteristics of the human visual system (HVS), but typically in a relatively simplistic manner, and achievable performance is reaching an asymptote. However, large gains are still realizable with current techniques by aggressively incorporating HVS characteristics to a much greater extent than is presently done. Achieving these gains requires HVS characterizations which better model natural image perception ranging from sub-threshold perception (where distortions are not visible) to supra-threshold perception (where distortions are clearly visible). This paper reviews classical psychophysical HVS characterizations focused on the visual cortex (VI), pertaining to the contrast sensitivity function, summation, and masking, which have been obtained using unrealistic stimuli such as sinusoids and white noise. The direct applicability of these results to natural images is often not clear. Complementary results are then presented which have been obtained using realistic stimuli derived from or consisting of natural images, along with several applications of these results. Finally, a new structure-based masking model is proposed to model masking in homogeneous natural image patches as a function of the image type: textures, edges, or structures.

关键词： visual psychophysics supra-threshold distortion masked detection summation wavelet image compression

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Interpolation of still images using the decay and persistence properties of discrete wavelet transform coefficients

Interpolation of still images using the decay and persistenc...

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conferenceon visual communications and image processing 2006

作者： Kwak, WG Park, RH Lee, JH Sogang Univ Dept Elect Engn CPO Box 1142 Seoul 100611 South Korea

ISBN: (纸本)0819461172

According to advances in digital image processing techniques, interest in high-quality still images has been increased. This paper proposes an effective discrete wavelet transform (DWT)-based algorithm that efficiently interpolates a high-resolution (HR) still image from a low-resolution (LR) one. The decay and persistence properties of DWT coefficients are utilized for HR image reconstruction. DWT coefficients are initially estimated based on the decay of the Lipschitz exponential and the similarity of DWT coefficients across resolution scales is used for coarse estimation. For optimal fine estimation the mean squared error is iteratively minimized. The proposed DWT-based interpolation algorithm yields better performance than the conventional methods in terms of the peak signal to noise ratio and subjective image quality.

关键词： high-resolution image image interpolation iterative method mean square error discrete wavelet transform decay property persistence property

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