P. Colantoni, Jean-Baptiste Thomas, A. Trémeau, J. Hardeberg
{"title":"Web Technologies Enable Agile Color Management","authors":"P. Colantoni, Jean-Baptiste Thomas, A. Trémeau, J. Hardeberg","doi":"10.1109/SITIS.2019.00057","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00057","url":null,"abstract":"With the number of display technologies, cameras, operating systems and software solutions, one of the only technologies that is compatible across this diversity is the web browser. We propose to show that the technologies now present in web browsers allow an indepent management of the color information on large variety of devices. For this purpose we introduce the basic concepts of color management and then we show how to implement them with WebAssembly and WebGL by introducing the concept of WebCMM. A WebCMM adapted for the color management of HTML elements in 2D, 3D but also for virtual environments. Finally, we present how we can implement this WebCMM for a real case of color workflow implemented in a demonstrator web page.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"566 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123069423","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}
{"title":"Electrical Impedance Of Breast’s Tissue Classification By Using Bootstrap Aggregating","authors":"Narumol Chumuang, Patiyuth Pramkeaw, A. Farooq","doi":"10.1109/SITIS.2019.00093","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00093","url":null,"abstract":"This paper presents on the classification of the electrical impedance of tissue from the breast. To analyze the risk of breast cancer by using techniques Bootstrap Aggregating due to cancer. The motivation of this work is only one important reason of a major public health problem and a common cancers cause of death. They are vigilant in the detection and treatment of breast cancer to be diagnosed in the early stages of breast cancer and treatment prior to the spread of the disease away to get a better therapeutic effect. It developed a method for detecting the operating room, including a variety of tools to detect, with a special understanding of the pathological increase. To make the guidelines for the treatment of breast cancer today have changed enough. The widgets work on this proposed new algorithm. A data set from UCI relating to the identification of the electrical impedance of the tissue box is cut from the breast with effective techniques. Bootstrap Aggregating is tested with 10-folds cross validation with 106 objects, the result is that the accuracy of 74.47%. Submitted:","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"434 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257249","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}
{"title":"Convolution Neural Networks for Arabic Font Recognition","authors":"George E. Sakr, Ammar Mhanna, Rony Demerjian","doi":"10.1109/SITIS.2019.00031","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00031","url":null,"abstract":"Designers have a large number of fonts to choose from. But what if they see the perfect font but do not know its name? In this paper we present a smart font recognition system, that takes a picture of the desired font, and helps with font identification. In this paper, we explore the usage of convolution neural networks to find the name of a font, given its picture. To achieve this task, a new Arabic font dataset is created. The dataset consists of 2500 pictures of single words covering 50 Arabic fonts. This dataset is then used to train different deep neural networks such as AlexNet, ResNet and other architectures to recognize single word fonts. Finally the results of the different models are compared and the best model was implemented using the sliding window technique in order to classify a full paper containing a whole text.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125945032","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}
{"title":"Efficient Mean/Sigma Estimation at Arbitrary Spatial Positions with Arbitrary Scales within A 2D Image","authors":"Wei‐Jun Chen","doi":"10.1109/SITIS.2019.00045","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00045","url":null,"abstract":"This paper contributes a novel two-step method for estimating local statistical image features: the mean and the standard deviation (σ) of pixel intensities, within random-access ROIs. In the first step, three summation maps will be created with O(n) computational complexity for the entire image; based on such maps the area, the mean intensity as well as the σ of an arbitrarily defined rectangular ROI could be calculated by fixed and limited arithmetic operations on scalar values. Without any repeated calculation on individual pixels, this method provides a promising efficiency and flexibility for further image analysis based on local statistical features. For instance, by performing the \"zero-mean-σ-normalization\" as fast post-processing on arbitrary image overlaps rather than performing it as slower pre-processing on individual pixels, this paper further contributes a non-classical normalized cross-correlation method for general image registration beyond the scope of (single) template matching.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126717551","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}
{"title":"Agent-Based Approach of Multi-structures Homecare Planning Problem","authors":"F. Hamdani, D. Monticolo","doi":"10.1109/SITIS.2019.00103","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00103","url":null,"abstract":"In the context of population aging and the significant demographic changes, the phenomenon of population aging is taking place throughout the world, and involving many social and economic implications. In the health care context, the phenomenon of population aging is a source of concern for policymakers. Indeed, the income growth of the elderly increases health expenditures, and strongly increases expenditures, especially on long-term care. In response to those implications, a growing interest in homecare organizations, transitions, and concerns have been approved. However, the home health care structures would have been much more difficult to tackle the new challenges without the proactive assistant of their operational management and organizational process, particularly the planning and scheduling of human resource activities. Taking advantage of the inherent characteristics of the Multi-agent system, this work introduces a distributed framework to improve the organizational decision in the homecare sector, particularly, the planning management of a set of patients shared between multiple homecare structures. In order, to facilitate complex daily activities, and to improve the quality of planning solutions in the homecare sector","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"265 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132677463","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}
{"title":"Multi-angled Face Segmentation and Identification Using Limited Data","authors":"Dane Brown","doi":"10.1109/SITIS.2019.00027","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00027","url":null,"abstract":"This paper introduces a different approach to face segmentation that aims to improve face recognition when given large pose angles and limited training data. Face segmentation is achieved by extracting landmarks which are manipulated in such a way as to normalize unseen data with a classification model. The approach is compared with related systems, followed by further tests that show consistent results across other datasets. Experiments include frontal and non-frontal training images for classification of various face pose angles. The proposed system is a promising contribution, and especially shows the importance of face segmentation. The results are achieved using minimal training data, such that both accurate and practical face recognition systems can be constructed.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133735119","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}
Mohamed Ali Sedrine, Wided Souidène Mseddi, T. Abdellatif, Rabah Attia
{"title":"Loop Closure Detection for Monocular Visual Odometry: Deep-Learning Approaches Comparison","authors":"Mohamed Ali Sedrine, Wided Souidène Mseddi, T. Abdellatif, Rabah Attia","doi":"10.1109/SITIS.2019.00083","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00083","url":null,"abstract":"In order to decrease monocular visual odometry drift by detecting loop closure, this paper presents a comparison between state of the art, 2-channel and Siamese, Convolutional Neural Networks. The work consists of training these networks in order to make them able to robustly identify loop closures. As we are in the case of having two input images, we perform our trainings and tests on both 2-channel and Siamese architecture for each network.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434162","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}
{"title":"Light-Weight Visual Feature Based Labeling (LVFL) for Unsupervised Person Re-identification","authors":"S. SridharRaj, M. Prasad, R. Balakrishnan","doi":"10.1109/SITIS.2019.00025","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00025","url":null,"abstract":"Person re-identification is a vital problem in smart video surveillance environment. Performing person reidentification with an unlabeled dataset is challenging. Even though certain labeling mechanisms are available in the literature, the computation overhead prevents the system to perform re-identification task dynamically. To overcome this issue, we propose a Light-weight Visual Feature based Labeling (LVFL) method to label the person re-identification images and reduce the computation overhead than the state-of-themethods. The computation overhead is reduced at three stages namely model initialization, neural network utilization and algorithmic complexity through evaluation of the cluster quality and Cumulative Match Curve (CMC) scores. The proposed method reports a reduced computation complexity than the traditional unsupervised person re-identification methods by determining a tight bound fine-tuning with a very less CMC score trade-off. Experimental results tested on three major benchmark datasets namely DukeMTMC re-id, Market1501 and CUHK03 show that the proposed LVFL produces a decent matching performance with a computation overhead reduction of about 29 % to 41 %.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560410","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}
{"title":"[Copyright notice]","authors":"","doi":"10.1109/sitis.2019.00003","DOIUrl":"https://doi.org/10.1109/sitis.2019.00003","url":null,"abstract":"","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003787","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}
{"title":"Cognitive Friendly Principles Based Drop Out Rate Reduction Approach","authors":"Salim Berbar","doi":"10.1109/SITIS.2019.00061","DOIUrl":"https://doi.org/10.1109/SITIS.2019.00061","url":null,"abstract":"Cognitive overload is one of the major cause of e-learning course dropout. The fundamental characteristics of course design are graphics, words, audio and segmentation has a direct impact on e-learner's attrition rate. Over the past two decades, researchers, specialists in educational psychology such as Mayer, R.E. have established links between course design and cognitive effort. [9] According to him, people learn easier when the message is in line with the way the human brain works and the cognitive load imposed on the learner. Among these psychological principles that serve as guidelines are: the principle of contiguity, modality and segmentation. The application of these psychological principles is sometimes made difficult by budget constraints or difference in learner's skill level.","PeriodicalId":301876,"journal":{"name":"2019 15th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634203","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}