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检索条件"任意字段=Conference on Visual Communications and Image Processing"

共 3470 条记录，以下是361-370 订阅

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FAST MERGE MODE DECISION FOR DIAMOND SEARCH IN HIGH EFFICIENCY VIDEO CODING

FAST MERGE MODE DECISION FOR DIAMOND SEARCH IN HIGH EFFICIEN...

引用

IEEE International conference on visual communications and image processing (VCIP)

作者： Kim, Miok Lee, Hyuk-Jae Ling, Nam Santa Clara Univ Dept Comp Engn Santa Clara CA 95053 USA Seoul Natl Univ Dept Elect Engn Seoul 151742 South Korea

ISBN: (纸本)9781479902880

This paper proposes a merge mode decision algorithm while maintaining the accuracy of a diamond search (DS) in motion estimation and compensation. In High Efficiency Video Coding (HEVC), the merge mode is used to reduce the bit rate in order to carry motion information. The rate-distortion (RD) cost of the merge mode is compared with the RD cost of the inter-prediction mode in the course of the motion estimation which can be terminated early when the merge cost is smaller than the estimated cost of the inter-prediction mode. To this end, this paper proposes a fast merge mode prediction algorithm when the DS is used for motion estimation. The main purpose of this work is to estimate the RD cost of the merge mode in advance by utilizing the distortion information of the RD cost of the motion vector prediction (MVP) so as to early terminate the motion search operation. Experimental results show that the proposed fast merge mode estimation achieves a comparable RD performance but reduces the amount of computation by 16.6% on the average when compared to the fast motion estimation with the diamond search implemented in the HM 8.0 reference software.

关键词： video coding visual communications motion estimation mode decision HEVC

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Encoded Deep Features for visual Place Recognition 28

Encoded Deep Features for Visual Place Recognition

引用

28th Signal processing and communications Applications conference (SIU)

作者： Hafez, A. H. Abdul Alqaraleh, Saed Tello, Ammar Hasan Kalyoncu Univ Comp Engn Dept Gaziantep Turkey

ISBN: (纸本)9781728172064

In this work, a new VPR approach that uses the features extracted from a Convolutional Neural Network (CNN) architecture that will be encoded by the Fisher Vector (FV) is introduced. As the main aim of this work is to develop a robust approach that can meet real-life challenges, the deep features are encoded with FV, which as shown in the experiments section, can lead to getting more robust features. Our approach was evaluated using two classifiers, Dynamic Time Warping (DTW) and Support Vector Machine (SVM) in particular. Using both classifiers, the FV-based encoded features have outperformed the non-encoded features.

关键词： Dynamic time warping Deep features Fisher Vector CNN image sequence matching visual place recognition

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Efficient Lossless Coding of Highpass Bands from Block-based Motion Compensated Wavelet Lifting Using JPEG 2000

Efficient Lossless Coding of Highpass Bands from Block-based...

引用

IEEE visual communications and image processing conference

作者： Schnurrer, Wolfgang Troeger, Tobias Richter, Thomas Seiler, Juergen Kaup, Andre Univ Erlangen Nurnberg Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany

ISBN: (纸本)9781479961399

Lossless image coding is a crucial task especially in the medical area, e.g., for volumes from Computed Tomography or Magnetic Resonance Tomography. Besides lossless coding, compensated wavelet lifting offers a scalable representation of such huge volumes. While compensation methods increase the details in the lowpass band, they also vary the characteristics of the wavelet coefficients, so an adaption of the coefficient coder should be considered. We propose a simple invertible extension for JPEG 2000 that can reduce the filesize for lossless coding of the highpass band by 0.8% on average with peak rate saving of 1.1%.

关键词： Computed Tomography Wavelet Lifting Signal Analysis Adaptive Coding Lossless image Coding

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Independence of source and channel coding for progressive image and video data in mobile communications

引用

conference on visual communications and image processing

作者： van der Schaaf, A Lagendijk, RL Tech Univ Delft NL-2628 CD Delft Netherlands

ISBN: (纸本)0819437034

In this paper we assess the independence of the optimization of source and channel coding parameters. We propose a method to separate the source and channel coding optimization as much as possible while maintaining the possibility of joint optimization. We theoretically derive key parameters that must be passed through an interface between source and channel coding. This separation greatly reduces the complexity of the optimization problem and enhances the flexibility.

关键词： joint source-channel progressive mobile communication

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Analysis of Smoothed LHE Methods for processing images with Optical Illusions 33

Analysis of Smoothed LHE Methods for Processing Images with ...

引用

33rd IEEE International conference on visual communications and image processing (IEEE VCIP)

作者： Ambalathankandy, Prasoon Shimada, Takeshi Takamaeda, Shinya Motomura, Masato Asai, Tetsuya Ikebe, Masayuki Hokkaido Univ Res Ctr Integrated Quantum Elect Sapporo Hokkaido Japan Hokkaido Univ Grad Sch Informat Sci & Technol Sapporo Hokkaido Japan

ISBN: (纸本)9781538644584

To replicate human visual perception, we analyze processing images with optical illusion using edge preserving filters and smoothed local histogram equalization (LHE). images with the optical illusions are good models for gradual/rapid changes in contrast and strong edges, which are good cases for assessing the robustness of image filters. Here, we study and analyze the performance of smoothed LHE filters while processing perceptual illusion. Our studies conclude that, smoothed LHEs are useful in retaining actual edge forms in these images as they can operate using large kernel sizes. These large kernel size filters can construct sawtooth like edge and it corresponds to adequately wide halos. We also demonstrate the usefulness of smoothed LHE like tone mapping techniques in preserving naturalness, and we confirmed it by performing subjective visual test.

关键词： Edge preserving filter lateral inhibition local histogram equalization local tonemap optical illusion visual perception

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Attraction-repulsion expectation-maximization algorithm for image processing and sensor field networks

Attraction-repulsion expectation-maximization algorithm for ...

引用

conference on visual communications and image processing 2008

作者： Hong, Hunsop Schonfeld, Dan Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA

ISBN: (纸本)9780819469946

An attraction-repulsion expectation-maximization (AREM) algorithm for density estimation is proposed in this paper. We introduce a Gibbs distribution function for attraction and inverse Gibbs distribution for repulsion as an augmented penalty function in order to determine equilibrium between over-smoothing and over-fitting. The logarithm of the likelihood function augmented the Gibbs density mixture is solved under expectation-maximization (EM) method. We demonstrate the application of the proposed attraction-repulsion expectation-maximization algorithm to image reconstruction and sensor field estimation problem using computer simulation. We show, that the proposed algorithm improves the performance considerably.

关键词： Expectation maximization algorithms Statistical analysis Sensors Reconstruction algorithms Autoregressive models image restoration Signal to noise ratio image sensors image processing image analysis

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New image compression artifact measure using wavelets

New image compression artifact measure using wavelets

引用

1997 conference on visual communications and image processing

作者： Lai, YK Kuo, CCJ Li, J Univ. of Southern California (United States) Sharp Labs. of America (United States)

ISBN: (纸本)0819424358

Traditional objective metrics for the quality measure of coded images such as the mean squared error (MSE) and the peak signal-to-noise ratio (PSNR) do not correlate with the subjective human visual experiences well, since they do not take human perception into account. Quantification of artifacts resulted from lossy image compression techniques is studied based on a human visual system (HVS) model and the time-space localization property of the wavelet transform is exploited to simulate HVS in this research. As a result of our research, anew image quality measure by using the wavelet basis function is proposed. This new metric works for a wide variety of compression artifacts. Experimental results are given to demonstrate that it is more consistent with human subjective ranking.

关键词： image quality assessment compression artifact measure visual fidelity criterion human visual system (HVS) wavelets

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Gradient Based image/Video SoftCast with Grouped-Patch Collaborative Reconstruction

Gradient Based Image/Video SoftCast with Grouped-Patch Colla...

引用

IEEE visual communications and image processing conference

作者： Liu, Hangfan Xiong, Ruiqin Ma, Siwei Fan, Xiaopeng Gao, Wen Peking Univ Inst Digital Media Sch EE&CS Beijing 100871 Peoples R China Harbin Inst Technol Dept Comp Sci Harbin 150001 Peoples R China

ISBN: (纸本)9781479961399

Inspired by the recent image quality assessment (IQA) studies which indicate that the image gradient data reflects the visual information more reliably than the image pixels, gradient based transmission scheme was recently proposed to pursue better perceptual quality for wireless visual communication. This paper develops an effective method to reconstruct high quality image from the received noisy gradient data. The proposed method utilizes both local correlation and non-local similarity within the image signal to regularize the reconstruction image. Principle component analysis (PCA) is employed to learn signal-adaptive two-dimensional (2D) transform basis, and 3D transform is performed on grouped similar patches to further decorrelate the coefficients. In this way, distortions can be effectively suppressed via adaptive collaborative shrinkage on the transform coefficients. Experimental results demonstrate that the proposed method improves the reconstruction performance remarkably compared with the existing schemes.

关键词： Gradient-based image transmission local correlation nonlocal similarity grouped similar patches collaborative shrinkage

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Eye-tracking-Based Quality Assessment for image Interpolation 33

Eye-tracking-Based Quality Assessment for Image Interpolatio...

引用

33rd IEEE International conference on visual communications and image processing (IEEE VCIP)

作者： Chen, Jinling Xu, Yiwen Wu, Ludi Liu, Yisang Zhao, Tiesong Fuzhou Univ Coll Phys & Informat Engn Fuzhou Fujian Peoples R China

ISBN: (纸本)9781538644584

In an image Quality Assessment (IQA) scenario, the Human Vision System (HVS) always acts as the ultimate receiver and valuator of generated images. As an important feature of HVS, the visual attention data has been demonstrated to be able to effectively improve the performance of existing objective quality metrics. However, this feature has not yet been well explored in the IQA of image interpolation. In this paper, we conduct an eye-tracking test on an interpolated image database and investigate the impact of visual attention on IQA of image interpolation. Two visual attention models, saliency map and Region Of Interest (ROI), are then obtained from the eye-tracking data. We further incorporate these models into non-integer interpolated IQA metric and examine their performances. Experiments show that the introduction of eye-tracking features obviously improves the conventional IQA metric for non-integer image interpolation.

关键词： image Quality Assessment (IQA) image interpolation visual saliency Region Of Interest (ROI) eye-tracking

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Zerotree image compression using anisotropic wavelet packet transform

Zerotree image compression using anisotropic wavelet packet ...

引用

conference on visual communications and image processing 2003

作者： Kutil, R Salzburg Univ Dept Comp Sci A-5020 Salzburg Austria

ISBN: (纸本)0819450235

The anisotropic wavelet packet transform is an extension of the conventional wavelet (packet) transform where the basis can have different scales in different dimensions. As there are certain kinds of images with different behaviour in horizontal and vertical direction, anisotropic wavelet packet bases can be adapted more precisely to these images. Zero-tree image compression has already proved its efficiency on conventional wavelet transformed data as well as for wavelet packets. In this work, zero-tree methods are extended to work with anisotropic wavelet packets and coding results are shown for several types of images.

关键词： Wavelets image compression Algorithm development Computer programming Linear filtering Wavelet packet decomposition image quality Wavelet transforms Digital filtering image processing

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