2014 IEEE Visual Communications and Image Processing Conference最新文献_第7页

Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000 基于JPEG 2000的基于块的运动补偿小波提升的高效无损编码

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051590

Wolfgang Schnurrer, Tobias Tröger, T. Richter, Jürgen Seiler, André Kaup

引用次数: 1

Foveation-based image quality assessment 基于注视点的图像质量评估

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051495

Wen-Jiin Tsai, Yi-Shih Liu

引用次数: 9

Depth map super-resolution via iterative joint-trilateral-upsampling 基于迭代联合三边上采样的深度图超分辨率

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051587

Yangguang Li, Lei Zhang, Yongbing Zhang, Huiming Xuan, Qionghai Dai

引用次数: 7

A single octave SIFT algorithm for image feature extraction in resource limited hardware systems 在资源有限的硬件系统中，一种用于图像特征提取的单倍频次SIFT算法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051542

N.P. Borg, C. J. Debono, D. Zammit-Mangion

{"title":"A single octave SIFT algorithm for image feature extraction in resource limited hardware systems","authors":"N.P. Borg, C. J. Debono, D. Zammit-Mangion","doi":"10.1109/VCIP.2014.7051542","DOIUrl":"https://doi.org/10.1109/VCIP.2014.7051542","url":null,"abstract":"With the availability and rapid advancement of low-cost, low-power, and high-performance processors, machine vision is gaining popularity in various fields, including that of autonomous navigation systems. Applying feature extraction techniques on the captured images provides rich information about the surrounding environment that can be used to accurately determine the position, velocity, and orientation of a vehicle. To extract these features in such an application, we developed the Single Octave Scale Invariant Feature Transform (Single Octave SIFT). This solution drastically reduces the computational load and memory bandwidth requirements while providing an accurate image-based terrain referenced navigation system for micro- and small-sized Unmanned Aerial Vehicles (UAVs). The Gaussian filtering and Keypoint extraction stages are the most computationally intensive parts of the Single Octave SIFT. The main focus of this paper is the design of this modified SIFT algorithm and the basic building blocks needed to implement these two stages within a low-cost, low-power and small footprint Xilinx Spartan-6 LX150 FPGA. Simulation results show that the number of memory accesses is reduced by 99.7% for Full-HD (1920×1080) images1. The operation cycles of the Gaussian filtering and Keypoint extraction stages are reduced by 90.2% and 95% respectively, compared with the single instruction multiple data (SIMD) architecture.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131857632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Sample adaptive offset filter hardware design for HEVC encoder HEVC编码器自适应失调滤波器硬件设计示例

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051563

Fabiane Rediess, R. Conceição, B. Zatt, M. Porto, L. Agostini

引用次数: 10

Depth-map driven planar surfaces detection 深度图驱动的平面检测

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051619

Jin Zhi, T. Tillo, Fei Cheng

引用次数: 12

Automatic denoising parameter estimation using gradient histograms 使用梯度直方图的自动去噪参数估计

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051580

Tamara Seybold, F. Kuhn, Julian Habigt, Mark Hartenstein, W. Stechele

{"title":"Automatic denoising parameter estimation using gradient histograms","authors":"Tamara Seybold, F. Kuhn, Julian Habigt, Mark Hartenstein, W. Stechele","doi":"10.1109/VCIP.2014.7051580","DOIUrl":"https://doi.org/10.1109/VCIP.2014.7051580","url":null,"abstract":"State-of-the-art denoising methods provide denoising results that can be considered close to optimal. The denoising methods usually have one or more parameters regulating denoising strength that can be adapted for a specific image. To obtain the optimal denoising result, the correct parameter setting is crucial. In this paper, we therefore propose a method that can automatically estimate the optimal parameter of a denoising algorithm. Our approach compares the gradient histogram of a denoised image to an estimated reference gradient histogram. The reference gradient histogram is estimated based on down- and upsampling of the noisy image, thus our method works without a reference and is image-adaptive. We evaluate our propsed down-/upsampling-based gradient histogram method (DUG) based on a subjective test with 20 participants. In the test data, we included images from both the Kodak data set and the more realistic ARRI data set and we used the state-of-the-art denoising method BM3D. Based on the test results we can show that the parameter estimated by our method is very close to the human perception. Despite being very fast and simple to implement, our method shows a lower error than all other suitable no-reference metrics we found.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131693924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

D-mago: A novel visual entity for storing emotional feeling with visual imprint 一种新颖的视觉实体，用于储存带有视觉印记的情感

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051607

Suk kyu Lee, Mungyu Bae, A. Y. Chung, Hwangnam Kim

引用次数: 0

A complexity reduction algorithm for depth maps intra prediction on the 3D-HEVC 基于3D-HEVC的深度图内预测复杂度降低算法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051523

G. Sanchez, Mário Saldanha, Gabriel Balota, B. Zatt, M. Porto, L. Agostini

引用次数: 24

A novel distributed compressive video sensing based on hybrid sparse basis 一种基于混合稀疏基的分布式压缩视频感知方法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051569

Haifeng Dong, Bojin Zhuang, Fei Su, Zhicheng Zhao

引用次数: 6