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检索条件"任意字段=Conference on Visual Communications and Image Processing 2007"

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Feature-level fusion of convolutional neural networks for visual object classification

Feature-level fusion of convolutional neural networks for vi...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Hilal Ergün Mustafa Sert Baskent Universitesi Ankara Ankara TR

Deep learning architectures have shown great success in various computer vision applications. In this study, we investigate some of the very popular convolutional neural network (CNN) architectures, namely GoogleNet, AlexNet, VGG19 and ResNet. Furthermore, we show possible early feature fusion strategies for visual object classification tasks. Concatanation of features, average pooling and maximum pooling are among the investigated fusion strategies. We obtain state-of-the-art results on well-known image classification datasets of Caltech-101, Caltech-256 and Pascal VOC 2007.

关键词： Art Neural networks visualization Computer architecture Computer vision Graphics processing units Reactive power

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Adaptive image compression using saliency and KAZE features

Adaptive image compression using saliency and KAZE features

引用

International conference on Signal processing and communications, SPCOM

作者： Siddharth Srivastava Prerana Mukherjee Brejesh Lall Department of Electrical Engineering Indian Institute of Technology Delhi India

ISBN: (纸本)9781509017478

In this paper we present a novel framework for compressing images using saliency maps and KAZE features. The method involves adapting the quality factor in JPEG compression scheme for each block instead of using the same quality factor for the entire image. This is achieved by adapting JPEG quality parameter based on visual saliency and KAZE keypoints. Subsequently, a piecewise function is used to compress the least important image blocks with higher compression ratio while maintaining the overall perceptual quality and avoiding blocking artifacts. This work introduces use of KAZE keypoints for image compression for the first time in literature. We show that the proposed method outperforms the JPEG compression using PSNR and FSIMc evaluation measures especially at high compression ratios.

关键词： image coding Transform coding Q-factor Boosting image edge detection Standards Feature extraction

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visual attention guided quality assessment of Tone-Mapped images using scene statistics

Visual attention guided quality assessment of Tone-Mapped im...

引用

IEEE International conference on image processing

作者： Debarati Kundu Brian L. Evans Wireless Networking and Communications Group The University of Texas at Austin Austin TX

ISBN: (纸本)9781467399623

Measuring visual quality, as perceived by human observers, is becoming increasingly important in the many applications in which humans are the ultimate consumers of visual information. This paper assesses the visual quality in mapping of high dynamic range (HDR) images to standard dynamic range (SDR) images with 8 bits/color/pixel. In previous work, the Tone-Mapped image Quality Index (TMQI) compares the original HDR image with the rendered SDR image. TMQI quantifies distortions locally and pools them by uniform averaging, in addition to measuring naturalness of the SDR image. For SDR images, perceptual pooling strategies have improved correlation of image quality assessment (IQA) algorithms with subjective scores. The primary contributions of this paper are: (1) integrating local information-based pooling strategies in the TMQI IQA algorithm, (2) measuring image naturalness by using mean-subtracted contrast-normalized pixels, and (3) testing the proposed methods on JPEG compressed tone-mapped images and tone-mapped images for SDR displays using subjective scores.

关键词： Standards Indexes visualization Dynamic range image coding image quality

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Diffraction as a resolution enhancer: visual hyperacuity simulation method

Diffraction as a resolution enhancer: Visual hyperacuity sim...

引用

International conference on Applied Electromagnetics and communications (ICECom)

作者： Adur Lagunas Oier Domínguez Carlos del Río Electrical and Electronic Engineering Department Antenna Group Public University of Navarre Pamplona Spain

ISBN: (纸本)9781509049998

visual hyperacuity is the capability of the human eye to see beyond the acuity defined by the number and size of its photoreceptors. Optical imaging systems suffer from diffraction since light passes through an aperture and a lens system. Common diffraction-limited devices are designed to limit this effect and capture a sharp image. Nevertheless, the human eye produces a noteworthy diffraction effect which exceeds these limits, projecting a blurred image over the retina, where photoreceptors are located. On this basis, it seems difficult to understand it operating as a diffraction-limited system. Assuming that diffraction could be helpful to achieve visual hyperacuity, we present a method that intend to simulate and explain it: introducing a controlled diffraction, we are able to enhance the image resolution using post-processing techniques as interpolation and inverse filtering. Our approach uses diffraction to improve image resolution when captured with a reduced number of sensors, far from being a limiting factor.

关键词： image resolution Diffraction Interpolation

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No-reference image quality assessment using statistics of sparse representations

No-reference image quality assessment using statistics of sp...

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International conference on Signal processing and communications, SPCOM

作者： K. V. S. N. L. Manasa Priya Balasubramanyam Appina Sumohana Channappayya Dept. of Electrical Engineering IIT Hyderabad Kandi 502285 India Dept. of Electrical Engineering IIT Hyderabad Kandi India

ISBN: (纸本)9781509017478

We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the representation of visual scenes in the primary visual cortex of the human visual system. Specifically, we use the sparse coding model of the area V1 to construct an overcomplete dictionary for sparsely representing pristine (undistorted) natural images. First, we empirically demonstrate that the distribution of the sparse representation coefficients of natural images have sharp peaks and heavy tails, and can therefore be modeled using a Univariate Generalized Gaussian Distribution (UGGD). We then show that the UGGD model parameters form good features for distortion estimation and formulate our no-reference IQA algorithm based on this observation. Subsequently, we find UGGD model parameters that are representative of the class of pristine natural images. This is achieved using a training set of undistorted natural images. The perceptual quality of a test image is then defined to be the likelihood of its sparse coefficients being generated from the pristine UGGD model. We show that the proposed algorithm correlates well with subjective evaluation over several standard image databases. Further, the proposed method allows us to construct a distortion map that has several useful applications like distortion localization, adaptive rate allocation etc. Finally and importantly, the proposed NR-IQA algorithm does not make use of any distortion information or subjective scores during the training process.

关键词： Dictionaries Distortion Algorithm design and analysis image quality Clustering algorithms Training visualization

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2nd International conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016

2nd International Conference on Young Computer Scientists, E...

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2nd International conference on Young Computer Scientists, Engineers and Educators, ICYCSEE 2016

ISBN: (纸本)9789811020520

The proceedings contain 63 papers. The special focus in this conference is on Social Computing. The topics include: A context-aware model using distributed representations for Chinese zero pronoun resolution;a hierarchical learning framework for steganalysis of jpeg images;a multi-agent organization approach for developing social-technical software of autonomous robots;a novel approach for the identification of morphological features from low quality images;a novel filtering method for infrared image;a personalized recommendation algorithm with user trust in social network;a preprocessing method for gait recognition;a real-time fraud detection algorithm based on usage amount forecast;a self-determined evaluation method for science popularization based on IOWA operator and particle swarm optimization;a strategy for small files processing in HDFS;a SVM-based feature extraction for face recognition;a transductive support vector machine algorithm based on ant colony optimization;an optimized buffer replacement algorithm for flash storage devices;an approach for automatically generating r2rml-based direct mapping from relational databases;an improved asymmetric bagging relevance feedback strategy for medical image retrieval;an incremental graph pattern matching based dynamic cold-start recommendation method;an optimized load balancing algorithm of dynamic feedback based on stimulated annealing;application progress of signal clustering algorithm;automated artery-vein classification in fundus color images;clarity corresponding to contrast in visual cryptography;a community-oriented group recommendation framework and improvement for leach algorithm in wireless sensor network.

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O(1) contrast preserving decolorization using linear local mapping

O(1) contrast preserving decolorization using linear local m...

引用

International conference on Wireless communications and Signal processing (WCSP)

作者： Yibing Song Lijun Gong Department of Computer Science City University of Hong Kong Kowloon Hong Kong China Center of Research and Development SenseNets Corporation Shenzhen China

ISBN: (纸本)9781509028610

We propose an effective and efficient local decolorization method in this paper. It is an extension of the global decolorization method [6] which robustly reproduces visual appearance of a color image in the grayscale output. The improvement of the local extension is the effective preservation of the local color contrast which may diminish in the global method. Meanwhile the proposed local extension is efficient in that the computational complexity is O(1) for each pixel, which will be independent of the local kernel size. Quantitative evaluation among existing decolorization methods shows that our local extension performs favorable in both image quality and time cost. Meanwhile, our method can be extended into temporal domain for robust video decolorization.

关键词： image color analysis Computational complexity Linear systems Gray-scale Color Robustness visualization

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Complex Convolution Kernel for Deep Networks

Complex Convolution Kernel for Deep Networks

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International conference on Wireless communications and Signal processing

作者： Kaizhou Li Hong Shi Qinghua Hu Tianjin University

ISBN: (纸本)9781509028610

Deep Convolutional Neural Network (CNN) is one of the most popular methods for image processing and recognition. There are many research works to improve the performance of CNNs. However, as an important part of CNNs, convolution kernel has rarely been discussed. As one Original Convolution Kernel (OCK) can only detect one type of visual feature with a fixed deformation, the networks using OCKs may learn many duplicate kernels with multiple deformations for one feature. In this paper, we propose a Complex Convolution Kernel (CCK), which can put the duplicate kernels together. Experiments on four popular datasets show the performance of networks is greatly improved by using CCKs, and suggest how to choose convolution kernels while designing networks.

关键词： Seeds Convolution Kernel Ray tracing Network Network design image processing copying

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A visual object tracking algorithm based on the game of features

A visual object tracking algorithm based on the game of feat...

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International conference on Wireless communications and Signal processing (WCSP)

作者： Zefenfen Jin Zhiqiang Hou Xianglin Wang Wangsheng Yu Xin Wang Air Force Engineering University Information and Navigation Institute Xi'an China

ISBN: (纸本)9781509028610

Aim at improving the robustness by employing single feature tracking algorithm in visual object tracking realm, we put forward an object tracking algorithm based on the thought of game theory via multi-feature fusion. Under the framework of Mean Shift visual tracking, treating the color features and motion features expressed by optical flow as two gamers, by searching the Nash Equilibrium of their game, makes various feature's contribution reach the optimum balance, then the advantages of feature fusion are reflected better. According to experimental results, this algorithm is robust to the drastic motion of object, obstacle occlusion and background interference. This study proposes a new algorithm, which base on traditional Mean Shift algorithm and use multi-feature fusion with game theory. The algorithm shows a good tracking performance.

关键词： Histograms Tracking Computer vision image motion analysis Optical reflection Color Optical imaging

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Improved spread spectrum compressive image watermark detection with distortion minimization

Improved spread spectrum compressive image watermark detecti...

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International conference on Signal processing and communications, SPCOM

作者： Anirban Bose Santi P. Maity Department of Information Technology Indian Institute of Engineering Science and Technology Shibpur Howrah India

ISBN: (纸本)9781509017478

An improved model for additive spread spectrum (SS) watermark detection on compressed sensing (CS) reconstructed images is presented in this paper. Mathematical form of detection threshold in log-likelihood ratio model is derived first and it is seen that detection probability depends on the embedding strength, watermark power, host signal variance on CS along with noise variance in observation/measurements. An optimization framework is then developed to minimize the visual distortion that includes reconstruction and embedding distortion while satisfying certain detection reliability constraint. An approximate closed form solution to the optimization problem in terms of embedding strength and set of appropriate host samples selection for a given number of CS measurements is derived and validated by a large set of simulations.

关键词： Watermarking Distortion Distortion measurement Optimization image reconstruction Reliability Interference

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