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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71-80 订阅

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A method for decision fusion of target trackers running on different band image sequences

A method for decision fusion of target trackers running on d...

引用

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

作者： Çakir, Serdar Karali, A. Onur Aytaç, Tayfun TÜBITAK BILGEM UEKAE/ILTAREN Turkey

ISBN: (纸本)9781467300568

In this work, an Euclid distance based decision fusion framework for the trackers running on the feature sequences extracted from different band images is proposed. In the experiments, four correlation based scale invariant tracker are run on intensity and edge image sequences extracted from the visual and infrared bands. The target locations obtained from each tracker are fused using the proposed method. The experimental studies show that, the proposed tracker decision fusion scheme makes the tracker more robust to track loss conditions. © 2012 ieee.

关键词： image processing

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image compression and retrieval for Mobile visual Search

Image compression and retrieval for Mobile Visual Search

引用

2012 International Symposium on communications and Information Technologies, ISCIT 2012

作者： Cao, Yi Ritz, Christian Raad, Raad ICT Research Institute School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong NSW 2522 Australia

ISBN: (纸本)9781467311571

Mobile visual Search (MVS) is an emerging area of research given the explosion of smart and computationally powerful mobile devices. Typically, MVS involves the computation of local image features which are then used within a matching process. Such applications pose certain unique challenges due to computation, power and bandwidth constraints of the mobile device. This paper examines the trade-off between two general frameworks for implementing MVS: 1. sending compressed images and performing feature extraction and matching on a server;and 2. performing feature extraction on the mobile device and sending these to a server for matching. A number of local image feature algorithms are studied using various image compression schemes from the point view of matching accuracy and processing time. Results show that the matching accuracy of sending compressed images is comparable to sending compact image features when using a high quality image coder, in this case JPEG2000 and HDPhoto. © 2012 ieee.

关键词： image compression

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Intuitive mobile image browsing on a hexagonal lattice

Intuitive mobile image browsing on a hexagonal lattice

引用

ieee visual communications and image processing (vcip)

作者： Gerald Schaefer Matthew Tallyn Daniel Felton David Edmundson William Plant Department of Computer Science Loughborough University Loughborough U.K. School of Engineering and Applied Science Aston University Birmingham U.K.

Following miniaturisation of cameras and their integration into mobile devices such as smartphones combined with the intensive use of the latter, it is likely that in the near future the majority of digital images will be captured using such devices rather than using dedicated cameras. Since many users decide to keep their photos on their mobile devices, effective methods for managing these image collections are required. Common image browsers prove to be only of limited use, especially for large image sets [1].

关键词： Lattices Mobile handsets image databases Mobile communication Browsers Multimedia communication Multimedia databases

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Theoretical analysis on interframe predictive coding with subpixel displacement accuracy — An exhaustive approach

Theoretical analysis on interframe predictive coding with su...

引用

ieee visual communications and image processing (vcip)

作者： Keita Takahashi Masahide Kaneko Department of Mechanical Engineering and Intelligent Systems The University of Electro-Communications Chofu-shi Tokyo Japan

A theoretical analysis on interframe predictive coding is presented in which special attention is paid on two issues that are practically important. First, the displacements between the target and reference images are usually given with limited accuracy due to quantization. Second, when the displacements are provided in subpixel accuracies, interpolation between the pixels is necessary to produce an estimation image. Our formulation takes an exhaustive approach in which we faithfully follow the process of subpixel interpolations with limited displacement accuracies. Our analysis can be used to determine how accurate the displacement vectors should be and which subpixel interpolation method should be used to optimize the rate-distortion performance.

关键词： Interpolation Accuracy Vectors Noise Quantization Rate-distortion Predictive coding

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The infrared image enhancement approach based on directionlet transform

The infrared image enhancement approach based on directionle...

引用

2012 International Conference on communications, Signal processing, and Systems, CSPS 2012

作者： Zhou, Xin Wang, Wei College of Physics and Electronic Information Science Tianjin Normal University Tianjin 300387 China

ISBN: (纸本)9781461458029

The chapter proposed a new multi-scale infrared image enhancement method based on directionlet transform, using directionlet transform to decompose the image's frequency domain, and the establishment of a multi-directional anisotropic filtration has enhanced the infrared image. The experiment has showed that the method has achieved better result in the aspects of visual effect and objective evaluation than the general transform domain enhancement method. © 2012 Springer Science+Business.

关键词： image enhancement

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Inferring user image-search goals by mining query logs with semi-supervised spectral clustering

Inferring user image-search goals by mining query logs with ...

引用

ieee visual communications and image processing (vcip)

作者： Zheng Lu Xiaokang Yang Weiyao Lin Xiaolin Chen Hongyuan Zha Insitute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China College of Computing Georgia Institute of Technology Atlanta Georgia USA

Inferring user search goals for a query can be very useful in improving search engine relevance and user experience. Although the research on analyzing user goals or intents for text search has received much attention, little has been proposed for image search. In this paper, we propose a novel approach to infer user search goals in image search by mining search engine query logs with semi-supervised spectral clustering. We combine the visual information of the clicked images with user click information by using graph-based models and then cluster the images with spectral clustering to capture user image-search goals. Experimental results based on a popular commercial search engine demonstrate the effectiveness of the proposed method.

关键词： visualization image edge detection Search engines Shape Clustering algorithms Vectors Feature extraction

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New distortion model for depth coding in 3DVC

New distortion model for depth coding in 3DVC

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ieee visual communications and image processing (vcip)

作者： Tao Zhang Xiaopeng Fan Debin Zhao Wen Gao Dept. of Computer Science and technology Harbin Institute of Technology Harbin China

Video plus the corresponding depth maps is now the most popular data format for 3D video coding, as it is convenient to synthesize an arbitrary intermediate virtual view without the need to display the depth map for end users. How to compress the depth map efficiently is one of the key problems in 3DVC. In this paper we propose a new distortion model for depth map coding by considering the view synthesis distortion caused by depth distortion and the disparity rounding problem. Simulation results show that the proposed scheme can achieve 34% bit-rate saving for depth map coding, or 1.28 dB gain in terms of PSNR on average for synthesized virtual views.

关键词： Encoding Cameras Geometry Rendering (computer graphics) Video coding Mathematical model image analysis

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Combination of SSIM and JND with content-transition classification for image quality assessment

Combination of SSIM and JND with content-transition classifi...

引用

ieee visual communications and image processing (vcip)

作者： Ming-Chung Hsu Guan-Lin Wu Shao-Yi Chien Media IC and System Lab National Taiwan University

image quality assessment (IQA) is a crucial feature of many image processing algorithms. The state-of-the-art IQA index, the structural similarity (SSIM) index, has been able to accurately predict image quality by assuming that the human visual system (HVS) separates structural information from non-structural information in a scene. However, the precision of SSIM is relatively lacking when used to access blurred images. This paper proposes a novel metric of image quality assessment, the JND-SSIM, which adopts the just-noticeable difference (JND) algorithm to differentiate between plain, edge, and texture blocks and obtain a visibility threshold map. Based on varying block transition types between the reference and distorted image, SSIM values are assigned respective weights and scaled down by visibility threshold map. We then test our algorithm on the LIVE and TID image Quality Database, thereby demonstrating that our improved IQA index is much closer to human opinion.

关键词： image edge detection Nonlinear distortion image quality Databases Humans Measurement Transform coding

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Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component

Wavelet domain image super-resolution from digital cinema to...

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ieee visual communications and image processing (vcip)

作者： Yasutaka Matsuo Shinya Iwasaki Yuta Yamamura Jiro Katto Japan Broadcasting Corporation (NHK) Science and Technology Research Laboratories Tokyo Japan Department of Computer Science and Engineering Waseda University Tokyo Japan

We propose a novel wavelet domain image super-resolution method from digital cinema to ultrahigh definition television considering cinema noise component. The proposed method features that spatial resolution of an original image is expanded by synthesis of super-resolved signal and noise components respectively after dividing an original image into signal and noise components. Dividing noise component uses spatio-temporal wavelet decomposition based on frequency spectrum analysis of cinema noise. And super-resolution parameters are optimized by comparing size-reduced super-resolution images with an original image. Experimental results showed that a super-resolution image using the proposed method has a subjectively better appearance and an objectively better peak signal-to-noise ratio measurement than conventional methods.

关键词： Spatial resolution Signal resolution Noise Filtering Motion pictures Films

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A color differentiated fuzzy c-means (CDFCM) based image segmentation algorithm

A color differentiated fuzzy c-means (CDFCM) based image seg...

引用

ieee visual communications and image processing (vcip)

作者： Min-Jen Tsai Hsuan-Shao Chang Institute of Information Management National Chiao Tung University R.O.C.

image segmentation is a very important process in digital image/video processing and computer vision applications. It is often used to partition an image into separated parts for further processes. For some applications (i.e., concept-based image retrieval), a successful segmentation algorithm is necessary to identity the objects effectively. In addition, how to tag the objects after the segmentation associated with keywords is also a challenge for researchers. In this study, we proposed a color differentiated fuzzy c-means (CDFCM) framework for effective image segmentation to achieve segmented objects within image which is useful for further annotation. In our experiments, we compared our approach with other FCM techniques on synthetic image with excellent performance. Furthermore, CDFCM outperforms other approaches by using the Berkeley image segmentation data set with layered annotation, which can be applied for additional operations.

关键词： image segmentation image color analysis image edge detection Algorithm design and analysis Signal processing algorithms Clustering algorithms Linear programming

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