2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)最新文献

Fast and robust image registration with local motion estimation for image enhancement and activity detection in retinal imaging 基于局部运动估计的快速鲁棒图像配准用于视网膜成像中的图像增强和活动检测

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008811

C. Kulcsár, R. Fezzani, G. Le Besnerais, A. Plyer, X. Levecq

{"title":"Fast and robust image registration with local motion estimation for image enhancement and activity detection in retinal imaging","authors":"C. Kulcsár, R. Fezzani, G. Le Besnerais, A. Plyer, X. Levecq","doi":"10.1109/IWCIM.2014.7008811","DOIUrl":"https://doi.org/10.1109/IWCIM.2014.7008811","url":null,"abstract":"Recent retinal imaging systems, including those featuring adaptative optics (AO) correction, produce sequences of images having a very high spatial resolution, but possibly affected by a low Signal-to-Noise Ratio (SNR). A simple, fast and efficient way to improve SNR in many cases is to average images. However, image quality appears to be highly variable from one frame to another, and sequences feature large inter-frame global motions due to eye movements. We consider in this paper both global and local motion estimation to deliver enhanced images or to detect vessel activity. We tackle the problem of retinal vessels local motions due to bloodstream. If not accounted for, these motions lead to some blurring of the enhanced image, which in turn degrades image analysis, for instance the estimation of the thickness of the vessels wall or the wall-to-lumen ratio. Interframe local motions need thus to be estimated. We propose to compensate for local motions using a fast optical flow estimation called FOLKI developed at ONERA/DTIM, which combines very fast computational times with a good accuracy. The method is then applied to detect vessel activity. Improvements are demonstrated both in terms of final image quality and of local activity detection, on sequences recorded on Imagine Eyes' rtx1 system.","PeriodicalId":337627,"journal":{"name":"2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129059704","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

Demosaicing of noisy color images through edge-preserving regularization 基于保边正则化的噪声彩色图像去马赛克算法

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008795

I. Gerace, F. Martinelli, A. Tonazzini

引用次数: 1

Assessing the quality of digital re-publishing of textual documents through the follow-up of a correction protocol by crowdsourcing 通过采用众包的方式跟进更正协议，评估文本文件数字化再版的质量

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008814

M. Lagarrigue, F. Rossant, Alain Pierrot, J. Gardes, Christophe Maldivi, Eric Petit

{"title":"Assessing the quality of digital re-publishing of textual documents through the follow-up of a correction protocol by crowdsourcing","authors":"M. Lagarrigue, F. Rossant, Alain Pierrot, J. Gardes, Christophe Maldivi, Eric Petit","doi":"10.1109/IWCIM.2014.7008814","DOIUrl":"https://doi.org/10.1109/IWCIM.2014.7008814","url":null,"abstract":"Digitized re-publishing of documents has become nowadays a very important issue. Optical Character Recognition (OCR) has been intensively used to this aim, as it performs the transcription of the text images into electronic files, allowing display functionalities, indexation, enrichment and broadcasting. However, such software still fails in many configurations, so that the transcription does not reach the required editorial quality (99% of recognition are required for an ergonomic reading). In the OZALID project, we propose to rely on crowdsourcing for correcting OCR results. One main issue is then to determine when the crowdsourcing has reached its limits. For that, we present a feasibility study of an original protocol based on indicators that quantify the recognition quality in both semantic and semiotic ways. These indicators are calculated and followed up during the entire crowdsourcing process until stability. Experimental results show that the proposed observables converge after some correction iterations allowing automatically stopping the crowdsourcing process and dealing with huge amount of data.","PeriodicalId":337627,"journal":{"name":"2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131517158","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

Using compressed audio-visual words for multi-modal scene classification 基于压缩视听词的多模态场景分类

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008808

Jan J. Kurcius, T. Breckon

引用次数: 2

Quantitative autofluorescence in retinal disease 视网膜疾病的定量自体荧光

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008799

A. Matet, S. Mohand-Said, J. Sahel, M. Pâques, F. Rossant, I. Audo

引用次数: 0

Semi-supervised image classification in large datasets by using random forest and fuzzy quantification of the salient object 基于随机森林和显著目标模糊量化的大数据集半监督图像分类

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008807

H. Merdassi, W. Barhoumi, E. Zagrouba

引用次数: 2

Evaluating consistency on the fly using YCSB 使用YCSB动态评估一致性

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008801

Sathiya Prabhu Kumar, Sylvain Lefebvre, Raja Chiky, E. Soudan

{"title":"Evaluating consistency on the fly using YCSB","authors":"Sathiya Prabhu Kumar, Sylvain Lefebvre, Raja Chiky, E. Soudan","doi":"10.1109/IWCIM.2014.7008801","DOIUrl":"https://doi.org/10.1109/IWCIM.2014.7008801","url":null,"abstract":"Distributed data storage systems, a.k.a NoSql systems are widely used when facing big data driven challenges. Due to the CAP theorem, most of these storage systems rely on Eventual Consistency and do not offer strong consistency by default. In order to offer better performance with acceptable level of consistency, these storage systems offer different consistency options. These consistency options enable the user to choose different tradeoffs between Consistency, Latency and Availability. Hence selecting the right storage system for a given application requires evaluating the performance and possible tradeoffs in advance. In order to help future architects to choose the right system and corresponding tradeoffs for their application, this article describes an extension of the YCSB: Yahoo cloud Services Benchmark that can report the number of stale reads in real time along with its default metrics. Evaluating the number of stale reads of a distributed data storage in real time is a challenging task. Most of existing techniques found in the literature rely on log processing after the test is done, an approach that can be less practical instead of evaluating it at the time of the test itself.","PeriodicalId":337627,"journal":{"name":"2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)","volume":"112 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116636315","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

Dynamic textures modeling using temporal mixing coefficients reduction 动态纹理建模使用时间混合系数减少

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008818

Michal Havlícek, M. Haindl, J. Filip

引用次数: 2

Segmentation of Terahertz images using 3D graph-cuts 使用3D图形切割的太赫兹图像分割

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008793

Vasundhara Dehiya, M. Trocan, F. Amiel

引用次数: 0

Identify important spectrum bands for classification using importances of wrapper selection applied to hyperspectral data 利用应用于高光谱数据的包装器选择的重要性，确定分类的重要频谱带

2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) Pub Date : 2014-11-01 DOI: 10.1109/IWCIM.2014.7008806

A. Le Bris, N. Chehata, X. Briottet, N. Paparoditis

引用次数: 4