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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11-20 订阅

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image data augmentation method based on maximum activation point guided erasure 2

Image data augmentation method based on maximum activation p...

引用

2nd International Conference on Advances in Computer Technology, Information Science and communications, CTISC 2020

作者： Jiang, Yun Tao, Shengxin Zhang, Hai Cao, Simin Northwest Normal University College of Computer Science and Engineering Lanzhou730070 China

ISBN: (纸本)9781728165011

Deep neural networks usually contain tens to hundreds of millions of orders of learning parameters that provide the necessary representation to solve various visual tasks. But with the increase of the representational ability, the possibility of over-fitting also increase, which bring about poor generalization. In this paper, we propose MA (Maximum Activation point processing) algorithm, a new image data augmentation method which is designed to improve the generalization ability of the model and reduce the risk of overfitting. During the training process, the most discriminative part of the input image is searched for, and the model is driven to search for the supplementary information of the most important feature information by erasing the maximum attention image block. During this process, training images with different occlusion levels are generated as new inputs to the network and the model continues to be trained. The image erasure method based on the maximum activation point guidance only needs to modify the input image, which can effectively improve the robustness of the model to occluded image recognition, and can be integrated with various network structures. The effectiveness of our method is verified on the Cifar10, Cifar100 and Fashion-MNIST datasets. © 2020 ieee.

关键词： Chemical activation

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A New Few-shot Segmentation Network Based on Class Representation

A New Few-shot Segmentation Network Based on Class Represent...

引用

ieee visual communications and image processing Conference

作者： Yuwei Yang Fanman Meng Hongliang Li King N. Ngan Qingbo Wu School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

This paper studies few-shot segmentation, which is a task of predicting foreground mask of unseen classes by a few of annotations only, aided by a set of rich annotations already existed. The existing methods mainly focus the task on "how to transfer segmentation cues from support images (labeled images) to query images (unlabeled images)", and try to learn efficient and general transfer module that can be easily extended to unseen classes. However, it is proved to be a challenging task to learn the transfer module that is general to various classes. This paper solves few-shot segmentation in a new perspective of "how to represent unseen classes by existing classes", and formulates few-shot segmentation as the representation process that represents unseen classes (in terms of forming the foreground prior) by existing classes precisely. Based on such idea, we propose a new class representation based few-shot segmentation framework, which firstly generates class activation map of unseen class based on the knowledge of existing classes, and then uses the map as foreground probability map to extract the foregrounds from query image. A new two-branch based few-shot segmentation network is proposed. Moreover, a new CAM generation module that extracts the CAM of unseen classes rather than the classical training classes is raised. We validate the effectiveness of our method on Pascal VOC 2012 dataset, the value FB-IoU of one-shot and five-shot arrives at 69.2% and 70.1% respectively, which outperforms the state-of-the-art method.

关键词： image segmentation Feature extraction Training Task analysis Annotations Convolution Manuals

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Weakly Supervised Semantic Segmentation Using Color Adjacency Loss

Weakly Supervised Semantic Segmentation Using Color Adjacenc...

引用

ieee visual communications and image processing (vcip)

作者： Youngeun Kim Taekyung Kim Seunghyeon Kim Changick Kim School of Electrical Engineering Korea Advanced Institute of Science and Technology Republic of Korea

ISBN: (纸本)9781538644591;9781538644584

Large amount of training data is essential for deep learning-based computer vision tasks. However, in semantic segmentation, annotating pixel-wise labels for large-scale image data is laborious and time-consuming. To handle this problem, we propose a training framework for a CNN-based network using sparse labels. We propagate the sparse labels to produce the same performance as training on dense labels in the segmentation network. For effective label propagation, we take advantage of the observation that adjacent pixels sharing similar colors would be in the same class. Based on this insight, the label is propagated by our adjacency loss depending on the color similarity between the adjacent pixels. We perform on the PASCAL VOC 2012 dataset using scribbles annotations as sparse labels. The proposed algorithm achieves superior performance compared to the previous method in weakly supervised semantic segmentation task.

关键词： image segmentation image color analysis Semantics Training Propagation losses Uncertainty Computer vision

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Packetization Strategies for MVD-based 3D Video Transmission

Packetization Strategies for MVD-based 3D Video Transmission

引用

30th ieee Conference on visual communications and image processing (vcip)

作者： Zhang, Xue Zhao, Yao Tillo, Tammam Lin, Chunyu Xiao, Jimin Wang, Anhong Beijing Jiaotong Univ Inst Informat Sci Beijing Peoples R China Xian Jiaotong Liverpool Univ Dept Elect & Elect Engn Suzhou Peoples R China Taiyuan Univ Sci & Technol Inst Digital Media & Commun Taiyuan Peoples R China

ISBN: (纸本)9781509053162

In multi-view video plus depth (MVD) format, virtual views are synthesized by the compressed texture videos and their associated depth through depth-image-based rendering. In this paper, we consider the setup where both the encoded texture and depth bitstreams experience packet losses during transmission. Different packetization strategies are investigated and a novel strategy is developed to improve error resilience of MVD-based video transmission, where texture data and its corresponding depth are put into the same packet. The size of texture plus associated depth data included in each packet needs to be less than the Maximum Transfer Unit (MTU). Experimental results demonstrate that our proposed packetization scheme yields a significant improvement in terms of both texture views and synthesized virtual views quality when fit in H.264/AVC.

关键词： image communication systems

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Viewable Floating Displays Using Simple Secondary Optical Elements

Viewable Floating Displays Using Simple Secondary Optical El...

引用

ieee visual communications and image processing (vcip) Conference

作者： Zhuang, Zhenfeng Wang, Hongjuan Surman, Phil Sun, Xiao Wei Nanyang Technol Univ Luminous Ctr Excellence Semicond Lighting & Displ Sch Elect & Elect Engn 50 Nanyang Ave Singapore 639798 Singapore

ISBN: (纸本)9781467373142

Two displays that enable the formation of floating images in the air are proposed. A high-refresh- rate monitor and two Fresnel lenses are used in the first demo system to create the real image in the air. The second demo system is composed of a slanted lenticular sheet and multiple semi-transparent mirrors. The floating 3D image can be observed by multiple users simultaneously. The principle and performance of the proposed displays are analyzed in this paper. Two prototypes of the viewable floating displays have been built. The results indicate that the displays are a feasible means of producing the illusion of images with depth.

关键词： Floating image display lenticular sheet geometric optical design

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Optimized Truncation Model for Adaptive Compressive Sensing Acquisition of images

Optimized Truncation Model for Adaptive Compressive Sensing ...

引用

ieee visual communications and image processing (vcip) Conference

作者： Li, Xiangwei Lan, Xuguang Yang, Meng Xue, Jianru Zheng, Nanning Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China

ISBN: (纸本)9781467373142

The sparsity of the input signal is important for compressive sensing (CS) reconstruction in CS system. In this paper, we establish an optimized truncation model to determine the number of the sparsified coefficients to be truncated in CS acquisition according to the sampling rate. The proposed truncation model suits for signals of any dimension. With the truncation model, the sparsity of the signal can be optimized by properly truncating the small elements of the sparsified coefficients. Furthermore we propose an adaptive CS acquisition solution based on the truncation model to reduce the noise folding effect. The proposed solution is verified for CS acquisition of natural images. Simulation results show that the proposed solution achieves significant improvement of the reconstructed image quality by 0.7 similar to 1.4 dB on average compared with existing solutions.

关键词： compressive sensing (CS) noise folding sparsity truncation model image processing

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Reducing HEVC encoding complexity using two-stage motion estimation

Reducing HEVC encoding complexity using two-stage motion est...

引用

visual communications and image processing, vcip 2015

作者： Cebrian-Marquez, Gabriel Chi, Chi Ching Martinez, Jose Luis Cuenca, Pedro Alvarez-Mesa, Mauricio Sanz-Rodriguez, Sergio Juurlink, Ben University of Castilla-La Mancha Albacete Spain Technische Universität Berlin Berlin Germany

ISBN: (纸本)9781467373142

We propose a technique for optimizing the High Efficiency Video Coding (HEVC) encoder by reducing the number of operations performed in the motion estimation stage. The technique is based on the fact that a significant number of motion estimation operations are performed repetitively for the same image samples, but for different block partition sizes. By decoupling the initial motion estimation and the block partitioning into different stages it is possible to remove a considerable number of redundant motion estimation operations. An implementation of the proposed technique on a SIMD optimized version of the HEVC reference encoder shows that, on average, a reduction of 79.02% SAD operations can be achieved, that results in an average reduction of 14.63% of the encoding complexity with negligible impact on the compression efficiency (BD-rate losses of less than 1%). © 2015 ieee.

关键词： image compression

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A Method Using Texture and Color Feature for Content-Based image Retrieval

A Method Using Texture and Color Feature for Content-Based I...

引用

2015 ieee International Conference on Computer and communications(ICCC 2015)

作者： He Zhang Xiuhua Jiang Information Engineering School Communication University of China

With the rapid growth of image database, contentbased image retrieval(CBIR) technology with its high value in theory and application has become a hot topic in the field of image processing. A retrieval method which combines color and texture feature is proposed in this paper. According to the characteristic of the image texture, we can represent the information of texture by fusion algorithm combines Gabor transform and edge histogram. The color histogram in HSV color space is chosen as the color feature, and the blocking and fuzzy color histogram is proposed in this paper. The experiment results show that this method is more efficient than the traditional CBIR method based on the single visual feature and method combining color and texture like CEDD.

关键词： image retrieval Texture feature Color feature Fusion

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image Super-resolution via PCA Sub-dictionaries Enhanced with Non-local Similarity

Image Super-resolution via PCA Sub-dictionaries Enhanced wit...

引用

ieee International Conference on Signal processing, communications and Computing (ICSPCC)

作者： Shou, Zhaoyu Wu, Guangxiang Zhang, Tong Guilin Univ Elect Technol Sch Informat & Commun Guilin 541004 Peoples R China Guilin Univ Elect Technol Sch Mech & Elect Engn Guilin 541004 Peoples R China

ISBN: (纸本)9781479952748

image super-resolution (SR) has grown up to be a hot research field of image processing these years. SR methods via sparse representation code image patch as linear combination of a few atoms chosen out from an over-complete dictionary. However, a universal dictionary is potentially unstable to represent various image structures. As a result, we adopt PCA sub-dictionaries and exploit the low-resolution image itself after k-means clustered instead of outer dataset through iteration to train them. In addition, a post-processing stage which exploits nonlocal redundancies of image is also proposed. Extensive experiments show that the proposed method achieves much better results than many state-of-the-art algorithms in terms of both objective evaluation and visual perception.

关键词： image super-resolution (SR) sparse representation PCA sub-dictionaries post-processing nonlocal similarity

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SINGLE image SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS

SINGLE IMAGE SUPER-RESOLUTION VIA PHASE CONGRUENCY ANALYSIS

引用

ieee International Conference on visual communications and image processing (vcip)

作者： Yu, Licheng Xu, Yi Zhang, Bo Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Key Lab Digital Media Proc & Commun Shanghai 200240 Peoples R China

ISBN: (纸本)9781479902880

Single image super-resolution (SR) is a severely unconstrained task. While the self-example-based methods are able to reproduce sharp edges, they perform poorly for textures. For recovering the fine details, higher-level image segmentation and corresponding external texture database are employed in the example-based SR methods, but they involve too much human interaction. In this paper, we discuss the existing problems of example-based technique using scale space analysis. Accordingly, a robust pixel classification method is designed based on the phase congruency model in scale space, which can effectively divide images into edges, textures and flat regions. Then a super-resolution framework is proposed, which can adaptively emphasize the importance of high-frequency residuals in structural examples and scale invariant fractal property in textural regions. Experimental results show that our SR approach is able to present both sharp edges and vivid textures with few artifacts.

关键词： Phase congruency quaternion Gabor super-resolution example-based synthesis fractal-based enhancement

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