2014 IEEE International Conference on Image Processing (ICIP)最新文献_第9页

Identifying regions of interest for discriminating Alzheimer's disease from mild cognitive impairment 识别区分阿尔茨海默病和轻度认知障碍的兴趣区域

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025003

Helena Aidos, J. Duarte, A. Fred

引用次数: 8

Single image dehazing based on fast wavelet transform with weighted image fusion 基于快速小波变换和加权图像融合的单幅图像去雾

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025921

H. Zhang, Xuan Liu, Zhitong Huang, Yuefeng Ji

引用次数: 15

Action recognition based on kinematic representation of video data 基于视频数据运动表示的动作识别

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025306

Xin Sun, Di Huang, Yunhong Wang, Jie Qin

引用次数: 4

Image segmentation by image foresting transform with geodesic band constraints 基于测地线带约束的图像森林变换图像分割

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025880

Caio de Moraes Braz, P. A. Miranda

引用次数: 14

Screen-camera calibration using a thread 使用螺纹校准屏幕摄像头

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025698

Songnan Li, K. Ngan, Lu Sheng

引用次数: 2

Bandwidth efficient mobile cloud gaming with layered coding and scalable phong lighting 带宽高效的移动云游戏与分层编码和可扩展的电话照明

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026212

Seong-Ping Chuah, Ngai-Man Cheung

{"title":"Bandwidth efficient mobile cloud gaming with layered coding and scalable phong lighting","authors":"Seong-Ping Chuah, Ngai-Man Cheung","doi":"10.1109/ICIP.2014.7026212","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7026212","url":null,"abstract":"In mobile cloud gaming, one of the main challenges is to deliver high-quality game images over wireless networks under stringent delay requirement. To reduce the bit-rate of game images, we propose Layered Coding, which leverages the graphic rendering capability of modern mobile devices to reduce transmission bit-rate. Specifically, we render a low-quality local game image, or the base layer, on the power-constrained mobile client. Instead of sending the high quality game image, the cloud server sends enhancement layer information, which the client utilizes to improve the quality of the base layer. Central to the proposed layered coding is the design of base layer (BL) rendering. We discuss BL design and propose a computationally-scalable Phong lighting that can be used in BL rendering. We performed experiments to compare our layered coding with state-of-the-art, which uses H.264/AVC inter-frame coding to compress game images. With game sequences of different model complexity and motion, our results suggest that layered coding requires substantially lower data-rate. We made available game video test sequences to stimulate future research.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"28 1","pages":"6006-6010"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85381535","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: 5

A meta-algorithm for classification by feature nomination 基于特征提名的分类元算法

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026050

Rituparna Sarkar, K. Skadron, S. Acton

引用次数: 3

Edge enhancement of depth based rendered images 基于深度渲染图像的边缘增强

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026103

M. S. Farid, M. Lucenteforte, Marco Grangetto

{"title":"Edge enhancement of depth based rendered images","authors":"M. S. Farid, M. Lucenteforte, Marco Grangetto","doi":"10.1109/ICIP.2014.7026103","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7026103","url":null,"abstract":"Depth image based rendering is a well-known technology for the generation of virtual views in between a limited set of views acquired by a cameras array. Intermediate views are rendered by warping image pixels based on their depth. Nonetheless, depth maps are usually imperfect as they need to be estimated through stereo matching algorithms; moreover, for representation and transmission requirements depth values are obviously quantized. Such depth representation errors translate into a warping error when generating intermediate views thus impacting on the rendered image quality. We observe that depth errors turn to be very critical when they affect the object contours since in such a case they cause significant structural distortion in the warped objects. This paper presents an algorithm to improve the visual quality of the synthesized views by enforcing the shape of the edges in presence of erroneous depth estimates. We show that it is possible to significantly improve the visual quality of the interpolated view by enforcing prior knowledge on the admissible deformations of edges under projective transformation. Both visual and objective results show that the proposed approach is very effective.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"21 1","pages":"5452-5456"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84593157","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: 16

Feature-based registration for correlative light and electron microscopy images 基于特征的相关光学和电子显微镜图像配准

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025724

D. Nam, J. Mantell, Lorna Hodgson, D. Bull, P. Verkade, A. Achim

引用次数: 6

Joint sparsity-based robust visual tracking 基于联合稀疏的鲁棒视觉跟踪

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025998

B. Bozorgtabar, Roland Göcke

{"title":"Joint sparsity-based robust visual tracking","authors":"B. Bozorgtabar, Roland Göcke","doi":"10.1109/ICIP.2014.7025998","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025998","url":null,"abstract":"In this paper, we propose a new object tracking in a particle filter framework utilising a joint sparsity-based model. Based on the observation that a target can be reconstructed from several templates that are updated dynamically, we jointly analyse the representation of the particles under a single regression framework and with the shared underlying structure. Two convex regularisations are combined and used in our model to enable sparsity as well as facilitate coupling information between particles. Unlike the previous methods that consider a model commonality between particles or regard them as independent tasks, we simultaneously take into account a structure inducing norm and an outlier detecting norm. Such a formulation is shown to be more flexible in terms of handling various types of challenges including occlusion and cluttered background. To derive the optimal solution efficiently, we propose to use a Preconditioned Conjugate Gradient method, which is computationally affordable for high-dimensional data. Furthermore, an online updating procedure scheme is included in the dictionary learning, which makes the proposed tracker less vulnerable to outliers. Experiments on challenging video sequences demonstrate the robustness of the proposed approach to handling occlusion, pose and illumination variation and outperform state-of-the-art trackers in tracking accuracy.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"20 1","pages":"4927-4931"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78057318","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