发布求助
文献互助 智能选刊 最新文献

2016 IEEE International Conference on Image Processing (ICIP)最新文献

筛选
英文 中文
Content-adaptive pyramid representation for 3D object classification 三维对象分类的内容自适应金字塔表示
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-28 DOI: 10.1109/ICIP.2016.7532353
Tsampikos Kounalakis, N. Boulgouris, G. Triantafyllidis
{"title":"Content-adaptive pyramid representation for 3D object classification","authors":"Tsampikos Kounalakis, N. Boulgouris, G. Triantafyllidis","doi":"10.1109/ICIP.2016.7532353","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532353","url":null,"abstract":"In this paper we introduce a novel representation for the classification of 3D images. Unlike most current approaches, our representation is not based on a fixed pyramid but adapts to image content and uses image regions instead of rectangular pyramid scales. Image characteristics, such as depth and color, are used for defining regions within images. Multiple region scales are formed in order to construct the proposed pyramid image representation. The proposed method achieves excellent results in comparison to conventional representations.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"10 1","pages":"231-235"},"PeriodicalIF":0.0,"publicationDate":"2016-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73120861","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: 2
Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion 生理参数的自动化测量:纤毛运动图像分析的案例研究
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-26 DOI: 10.1109/ICIP.2016.7532556
É. Puybareau, Hugues Talbot, É. Béquignon, Bruno Louis, G. Pelle, J. Papon, A. Coste, Laurent Najman
{"title":"Automating the measurement of physiological parameters: A case study in the image analysis of cilia motion","authors":"É. Puybareau, Hugues Talbot, É. Béquignon, Bruno Louis, G. Pelle, J. Papon, A. Coste, Laurent Najman","doi":"10.1109/ICIP.2016.7532556","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532556","url":null,"abstract":"As image processing and analysis techniques improve, an increasing number of procedures in bio-medical analyses can be automated. This brings many benefits, e.g improved speed and accuracy, leading to more reliable diagnoses and follow-up, ultimately improving patients outcome. Many automated procedures in bio-medical imaging are well established and typically consist of detecting and counting various types of cells (e.g. blood cells, abnormal cells in Pap smears, and so on). In this article we propose to automate a different and difficult set of measurements, which is conducted on the cilia of people suffering from a variety of respiratory tract diseases. Cilia are slender, microscopic, hair-like structures or organelles that extend from the surface of nearly all mammalian cells. Motile cilia, such as those found in the lungs and respiratory tract, present a periodic beating motion that keep the airways clear of mucus and dirt. In this paper, we propose a fully automated method that computes various measurements regarding the motion of cilia, taken with high-speed video-microscopy. The advantage of our approach is its capacity to automatically compute robust, adaptive and regionalized measurements, i.e. associated with different regions in the image. We validate the robustness of our approach, and illustrate its performance in comparison to the state-of-the-art.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"32 1","pages":"1240-1244"},"PeriodicalIF":0.0,"publicationDate":"2016-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84209801","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: 2
Softcast with per-carrier power-constrained channels 每个载波功率受限信道的软播
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532733
Shuo Zheng, M. Antonini, Marco Cagnazzo, L. Guerrieri, M. Kieffer, I. Nemoianu, R. Samy, B. Zhang
{"title":"Softcast with per-carrier power-constrained channels","authors":"Shuo Zheng, M. Antonini, Marco Cagnazzo, L. Guerrieri, M. Kieffer, I. Nemoianu, R. Samy, B. Zhang","doi":"10.1109/ICIP.2016.7532733","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532733","url":null,"abstract":"This paper considers the Softcast joint source-channel video coding scheme for data transmission over parallel channels with different power constraints and noise characteristics, typical in DSL or PLT channels. To minimize the mean square error at receiver, an optimal precoding matrix design problem has to be solved, which requires the solution of an inverse eigenvalue problem. Such solution is taken from the MIMO channel precoder design literature. Alternative suboptimal precoding matrices are also proposed and analyzed, showing the efficiency of the optimal precoding matrix within Softcast, which provides gains increasing with the encoded video quality.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"7 1","pages":"2122-2126"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75640393","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: 10
Blind image steganalysis based on evidential K-Nearest Neighbors 基于证据k近邻的盲图像隐写分析
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532858
N. Guettari, A. Capelle-Laizé, P. Carré
{"title":"Blind image steganalysis based on evidential K-Nearest Neighbors","authors":"N. Guettari, A. Capelle-Laizé, P. Carré","doi":"10.1109/ICIP.2016.7532858","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532858","url":null,"abstract":"Blind steganalysis techniques are able to detect the presence of secret messages embedded in digital media files, such as images, video, and audio, with an unknown steganography algorithm. This paper present an image steganalysis method based on Evidential K-Nearest Neighbors (EV-knn). Originality of this work is the use of theoretical framework of Belief functions on different subspaces of features vectors. Classifications obtained in subspaces are combined using specific combination function and to provide classification of a given image (cover or stego). The proposed approach is evaluated with the classical nsf5 steganographic method that hides messages in JPEG images. Compared to Ensemble Classifier steganalysis algorithm, the proposed approach significantly increases the performance of classification.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"47 1","pages":"2742-2746"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87620905","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: 39
Online multi-model particle filter-based tracking to study bedload transport 基于多模型粒子滤波的河床输运在线跟踪研究
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7533008
H. L. D. Micheaux, C. Ducottet, P. Frey
{"title":"Online multi-model particle filter-based tracking to study bedload transport","authors":"H. L. D. Micheaux, C. Ducottet, P. Frey","doi":"10.1109/ICIP.2016.7533008","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7533008","url":null,"abstract":"Multi-object tracking is a difficult problem underlying many computer vision applications. In this work, we focus on sediment transport experiments in a flow were sediments are represented by spherical calibrated beads. The aim is to track all beads over long time sequences to obtain sediment velocities and concentration. Classical algorithms used in fluid mechanics fail to track the beads over long sequences with a high precision because they incorrectly handle both miss-detections and detector imprecision. Our contribution is to propose a particle filter-based algorithm including an adapted multiple motion model. Additionally, this algorithm integrates several improvements to account for the lack of precision of the detector. The evaluation was made using a test sequence with a dedicated ground-truth. The results show that the method outperforms state-of-the-art concurrent algorithms.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"103 1","pages":"3489-3493"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81808468","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: 6
A parallel, O(N) algorithm for unbiased, thin watershed 一个并行，O(N)算法的无偏，薄分水岭
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532823
T. Chabardès, P. Dokládal, M. Faessel, M. Bilodeau
{"title":"A parallel, O(N) algorithm for unbiased, thin watershed","authors":"T. Chabardès, P. Dokládal, M. Faessel, M. Bilodeau","doi":"10.1109/ICIP.2016.7532823","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532823","url":null,"abstract":"The watershed transform is a powerful tool for morphological segmentation. Most common implementations of this method involve a strict hierarchy on gray tones in processing the pixels composing an image. Those dependencies complexify the efficient use of modern computational architectures. This paper aims at answering this problem by introducing a new way of simulating the waterflood that alleviates the sequential nature of hierachical queue propagation. Simultaneous and disorderly growth is made possible using this method. higher speed is reached and bigger data volume can be processed. Experimental results show that the algorithm is accurate and produces a thin, well centered watershed line.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"357 1","pages":"2569-2573"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76400773","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
Full-reference saliency-based 3D mesh quality assessment index 基于全参考显著性的三维网格质量评价指标
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532509
Anass Nouri, C. Charrier, O. Lézoray
{"title":"Full-reference saliency-based 3D mesh quality assessment index","authors":"Anass Nouri, C. Charrier, O. Lézoray","doi":"10.1109/ICIP.2016.7532509","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532509","url":null,"abstract":"We propose in this paper a novel perceptual viewpoint-independent metric for the quality assessment of 3D meshes. This full-reference objective metric relies on the method proposed by Wang et al. [1] that compares the structural informations between an original signal and a distorted one. In order to extract the structural informations of a 3D mesh, we use a multi-scale visual saliency map on which we compute the local statistics. The experimental results attest the strong correlation between the objective scores provided by our metric and the human judgments. Also, comparisons with the state-of-the-art prove that our metric is very competitive.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"29 1","pages":"1007-1011"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76879649","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: 12
Horizon based orientation estimation for planetary surface navigation 基于视界的行星表面导航方向估计
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7533185
Xavier Bouyssounouse, A. Nefian, A. Thomas, L. Edwards, M. Deans, T. Fong
{"title":"Horizon based orientation estimation for planetary surface navigation","authors":"Xavier Bouyssounouse, A. Nefian, A. Thomas, L. Edwards, M. Deans, T. Fong","doi":"10.1109/ICIP.2016.7533185","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7533185","url":null,"abstract":"Planetary rovers navigate in extreme environments for which a Global Positioning System (GPS) is unavailable, maps are restricted to relatively low resolution provided by orbital imagery, and compass information is often lacking due to weak or not existent magnetic fields. However, an accurate rover localization is particularly important to achieve the mission success by reaching the science targets, avoiding negative obstacles visible only in orbital maps, and maintaining good communication connections with ground. This paper describes a horizon solution for precise rover orientation estimation. The detected horizon in imagery provided by the on board navigation cameras is matched with the horizon rendered over the existing terrain model. The set of rotation parameters (roll, pitch yaw) that minimize the cost function between the two horizon curves corresponds to the rover estimated pose.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"38 1","pages":"4368-4372"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74033796","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 block parallel majorize-minimize memory gradient algorithm 一个块并行最大化-最小化内存梯度算法
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532949
Sara Cadoni, É. Chouzenoux, J. Pesquet, C. Chaux
{"title":"A block parallel majorize-minimize memory gradient algorithm","authors":"Sara Cadoni, É. Chouzenoux, J. Pesquet, C. Chaux","doi":"10.1109/ICIP.2016.7532949","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532949","url":null,"abstract":"In the field of 3D image recovery, huge amounts of data need to be processed. Parallel optimization methods are then of main interest since they allow to overcome memory limitation issues, while benefiting from the intrinsic acceleration provided by recent multicore computing architectures. In this context, we propose a Block Parallel Majorize-Minimize Memory Gradient (BP3MG) algorithm for solving large scale optimization problems. This algorithm combines a block coordinate strategy with an efficient parallel update. The proposed method is applied to a 3D microscopy image restoration problem involving a depth-variant blur, where it is shown to lead to significant computational time savings with respect to a sequential approach.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"112 1","pages":"3194-3198"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79398971","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: 9
GAS plume detection in hyperspectral video sequence using low rank representation 基于低秩表示的高光谱视频序列气体羽流检测
2016 IEEE International Conference on Image Processing (ICIP) Pub Date : 2016-09-25 DOI: 10.1109/ICIP.2016.7532753
Yang Xu, Zenbin Wu, Zhihui Wei, M. Mura, J. Chanussot, A. Bertozzi
{"title":"GAS plume detection in hyperspectral video sequence using low rank representation","authors":"Yang Xu, Zenbin Wu, Zhihui Wei, M. Mura, J. Chanussot, A. Bertozzi","doi":"10.1109/ICIP.2016.7532753","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532753","url":null,"abstract":"Thanks to the fast development of sensors, it is now possible to acquire sequences of hyperspectral images. Those hyperspectral video sequences (HVS) are particularly suited for the detection and tracking of chemical gas plumes. In this paper, we present a novel gas plume detection method. It is based on the decomposition of the sequence into a low-rank and a sparse term, corresponding to the background and the plume, respectively, and incorporating temporal consistency. To introduce spatial continuity, a post processing is added using the Total Variation (TV) regularized model. Experimental results on real hyperspectral video sequences validate the effectiveness of the proposed method.","PeriodicalId":6521,"journal":{"name":"2016 IEEE International Conference on Image Processing (ICIP)","volume":"70 1","pages":"2221-2225"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86878465","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: 6
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信