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共 196 条记录，以下是71-80 订阅

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Considering binocular spatial sensitivity in stereoscopic image quality assessment

Considering binocular spatial sensitivity in stereoscopic im...

引用

ieee visual communications and image processing (vcip)

作者： Xu Wang Sam Kwong Yun Zhang Department of Computer Science City University of Hong Kong Hong Kong Hong Kong China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences 518055 China

Developing reliable and generic perceptual quality metrics is an challenging issue in three-dimensional (3D) visual signals processing, although many two dimensional (2D) image quality metrics have been proposed and work well on 2D images. In this paper, the binocular spatial sensitivity influenced by the binocular fusion and rivalry properties is considered in the quality measurement. Firstly, the binocular spatial sensitivity map is modeled to reflect the properties. Then, a framework of integration of binocular spatial sensitivity map into quality assessment is presented. Experimental results show that the proposed metric correlate well with human perception of quality on a dataset of 3D images and human subjective scores.

关键词： Stereo image processing image quality image coding Sensitivity Three dimensional displays visualization

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Lossless integer color transform for four color components

Lossless integer color transform for four color components

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ieee visual communications and image processing (vcip)

作者： Masahiro Iwahashi Masanori Ogawa Hitoshi Kiya Nagaoka University of Technology Niigata Japan Tokyo Metropolitan University Tokyo Japan

This report proposes an integer color transform for lossless coding of four color components of images. An existing color transform has a fixed set of coefficients and therefore it can't be adaptive to each image. We utilize eigen-vector of the covariance of the four components to increase data compaction performance. We also utilize fixed relation between two green components to simplify computational cost of the transform. It was confirmed that the proposed method reduces entropy rate by 0.4 bit comparing to the existing method.

关键词： image color analysis Transforms Entropy image coding Computational efficiency Correlation Encoding

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Inferring users' image-search goals with pseudo-images

Inferring users' image-search goals with pseudo-images

引用

ieee visual communications and image processing (vcip)

作者： Zheng Lu Xiaokang Yang Weiyao Lin Xiaolin Chen Hongyuan Zha Institute of Image Communication and Information Processing Department of Electronic Engineering Shanghai Jiaotong University Shanghai China College of Computing Georgia Institute of Technology Atlanta GA USA

The analysis of user search goals for a query can be very useful in improving search engine relevance and user experience. Although the research on inferring user goals or intents for text search has received much attention, little has been proposed for image search with visual information. In this paper, we propose a novel approach to capture user search goals in image search by exploring pseudo-images which are extracted by mining single sessions in user click-through logs to reflect user information needs. Moreover, we also propose a novel evaluation criterion to determine the number of user search goals for a query. Experimental results demonstrate the effectiveness of the proposed method.

关键词： visualization Feature extraction Vectors Web search Search engines image fusion image color analysis

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Detecting Non-Transient Anomalies in visual Information Using Neural Networks

Detecting Non-Transient Anomalies in Visual Information Usin...

引用

16th ieee Symposium on Computers and communications (lSCC)

作者： Kounavis, Michael E. Morrissette, Joel Srinivasan, Sadagopan Yavatkar, Raj Intel Corp Hillsboro OR 97124 USA

ISBN: (纸本)9781457706783

We address the problem of detecting non-transient anomalies in visual information. By non-transient anomalies we mean changes in the way environments look that are persistent across time. Such changes may include leaving unattended bags at airport corridors, putting graffiti in building walls or damaging public property. Detecting non-transient anomalies is critical to security and surveillance in indoor and outdoor environments. We argue that existing off-the-shelf solutions to computer vision problems (e. g., image recognition, gesture recognition, text recognition) are not the most efficient when applied to detecting non-transient anomalies due to their associated computational overhead. In this paper we present a neural network-based architecture that addresses some of the limitations of the state of the art. To speed up computations, our architecture supports the processing of a large number of neurons in parallel. To reduce computational overheads, our architecture omits some of the Gaussian kernel-based feature extraction tasks performed by other systems. To classify visual anomalies as non-transient, our architecture uses a codebook-based algorithm which builds a history profile for every image segment. We describe our architecture and present some performance analysis.

关键词： Biological neural networks Computer architecture Gaussian kernel-based feature extraction tasks History Neurons Surveillance Tiles visualization codebook-based algorithm computer vision computer vision problems image segment image segmentation neural nets neural network-based architecture nontransient anomalies security of data visual information

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Zero-error watermarking on jpeg images by shuffling huffman tree nodes

Zero-error watermarking on jpeg images by shuffling huffman ...

引用

ieee visual communications and image processing (vcip)

作者： Yongdong Wu Robert H. Deng Cryptography and Security Department Institute for Infocomm Research Singapore School of Infomation Systems Singapore Management University Singapore

This paper proposes a full fidelity watermarking on JPEG bitstreams. That is, without a designated decoder/player, the watermarked bitstream can be decompressed to the original one. To this end, the scheme modifies the JPEG Huffman tables and the bitstream synchronically according to the watermark. Thus it is unnecessary for the JPEG decompressor to recover DCT coefficients because they are not modified at all. In addition, the present scheme is applicable to any JPEG bitstream even if its Huffman tables are optimized.

关键词： Transform coding Watermarking Vectors Discrete cosine transforms image coding Decoding Multimedia communication

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image Enhancement Using a Nonlinear Method with an Improved Single-Scale Retinex Algorithm

Image Enhancement Using a Nonlinear Method with an Improved ...

引用

ieee International Conference on Electronics, communications and Control (ICECC)

作者： Liu, Lizhu Wang, Haiying Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst & Network Culture Beijing 100088 Peoples R China

ISBN: (纸本)9781457703218

In this paper a new approach is proposed to enhance images that inspired by adaptive global and local processing of the human visual system. The method first uses a principal component analysis to the original image to provide orthogonality between channels and thus reduces the chromatic changes induced by the processing of luminance. Then a nonlinear method is applied to adjust the global dynamic range. Finally with an improved Sing-Scale Retinex algorithm whose filter shape is adapted to high-contrast edges of the image, the local contrast is increased without generating halo artifacts or washed-out problems. Our method is compared with other algorithms and renders more visually pleasing images.

关键词： image enhancement principal component analysis Single-Scale Retinex

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image retargeting based on the sensitivity-tuned visual significance map

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

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ieee visual communications and image processing (vcip)

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

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.

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

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Adaptive raster scan for slice/frame coding

Adaptive raster scan for slice/frame coding

引用

ieee visual communications and image processing (vcip)

作者： Xin Jin Satoshi Goto Information Technology Research Organization Waseda University Fukuoka Japan Graduate School of Information Production and Systems Waseda University Fukuoka Japan

In this paper, new raster scan orders other than the conventional horizontal scan from the top-left corner of the image/slice are proposed to fully exploit content correlation from the regions right to and below the current coding unit. By being applied to each slice/frame adaptively with the conventional one, features influencing the scan order selection are investigated. Different adaptive scan schemes are tested and compared. Up to 3.4% bit-rate reduction can be achieved for Intra coding with limited increase in complexity.

关键词： Encoding Correlation Complexity theory Decoding ISO standards image coding Bit rate

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A low complexity dual mode edge detector

A low complexity dual mode edge detector

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ieee visual communications and image processing (vcip)

作者： Lih-Jen Kau Chih-Shen Chen Department of Electronic Engineering National Taipei University of Technology Taipei Taiwan

Edge detection is widely applied in digital image processing, especially in segmentation of images. Many of the well-known edge detectors, e.g., Sobel and Canny operator, are based on spatial filtering with a mask around the pixel under detection. In this paper, we propose a very low complexity edge detector that has two operation modes; non-causal mode and causal mode. Though simple in its form, the proposed two operation modes can pick out pixels around boundaries effectively and efficiently. For images with salt-and-pepper noise, the proposed approach offers a much better noise immunity than that of by Sobel operator. Experimental results are also given to demonstrate the superiority of the proposed approach.

关键词： image edge detection Detectors image coding Noise Vectors Complexity theory Shape

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Two-stage method for salt-and-pepper noise removal using statistical jump regression analysis

Two-stage method for salt-and-pepper noise removal using sta...

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ieee visual communications and image processing (vcip)

作者： Liang Zhang Jian-Zhou Zhang Chengdu Computer Application Research Institute Chinese Academy of Sciences Chengdu China College of Computer Sichuan University Chengdu China

This paper proposes a new two-stage method for image denoising under salt-and-pepper noise based on a median-type noise detector and the edge-preserving surface estimation using statistical jump regression analysis. In the first stage, a median- type noise detector is used to detect the pixels that are likely to be corrupted by salt-and-pepper noise. In the second stage, the image is denoised by using edge-preserving statistical jump regression analysis based on the uncorrupted pixels. The experiments show that the proposed approach obtains better tradeoff between denoising performance and computational complexity.

关键词： image edge detection PSNR Estimation Detectors image restoration Signal processing algorithms

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