Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)最新文献

{"title":"Towards a Computer Vision System for Monitoring and Stimulation of Rodents","authors":"Renan Araújo Lima, José Wanderson Oliveira Silva, L. Gonçalves","doi":"10.5753/sibgrapi.est.2022.23265","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23265","url":null,"abstract":"The Behavioral Neurophysiology research area investigates the electrophysiological correlates of behaviors, normally using animals such as rodents as subjects. Examples of studies in the field include the investigation of neural processing dysfunctions and synaptic plasticity in animal models of autism and changes in synaptic plasticity in animal models of epilepsy. This area is in constant need of new equipment to aid research. With this goal, this work aims to develop a system capable of receiving video information in real-time using computer vision algorithms to define the positioning of the animal, plus the processing of ultrasound audio and brain electrophysiology signals. These data are to be represented in a user-friendly way and, from these data, we also aim to generate brain stimuli depending on the type of test being performed.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121089518","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":"Real-Time Air Quality Monitoring Using Sensors to Prevent Severe Acute Respiratory Syndromes (SARS)","authors":"A. A. Bezerra, Davi H. dos Santos, L. M. Gonçalves","doi":"10.5753/sibgrapi.est.2022.23281","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23281","url":null,"abstract":"This work presents the development, calibration, and validation of a device capable of actively capturing data related to the measurement of air quality for future prevention. This data can then be compared with pandemic/endemic data indices by location using PM2.5, temperature, and humidity sensors, along with a microcontroller capable of sending all necessary information to a database. As it is a project that needs a large scale so that it is possible to capture air quality indices in as many points as possible in order to obtain data with very high granularity, the development is always being thought of, always viewing the cost-effectiveness of the components used for replicating is possible, and also the development is part of a larger project, which should provide the community with a complete platform capable of providing real-time air quality data.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129952051","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":"Ideas for Dealing with Reduced Datasets in Development of CADe Systems for Medical Uses","authors":"José Morista Carneiro da Silva, A. Conci","doi":"10.5753/sibgrapi.est.2022.23278","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23278","url":null,"abstract":"This work presents a real time user friendly system to aid specialized professionals to analyze bone scans exams. In order to achieve this, some original ideas are applied. The first one is related to the use of each pixel of an exam as object of interest for classification. Another original idea is the use of operations that are normally applied in pre-processing as features for machine learning. With both, even using small dataset was possible to obtain enough amounts of entries to be used for training and testing. Initially, the feature vectors are composed by 64 features and one target attribute representing the classification result. The used bone scans set was composed of 42 images from 21 patients. At the end of the learning tasks a dataset of 2,512,386 records is computed. In order to reduce the cardinality of the vector of features, the Principal Component Analysis was employed leading to a new feature set with 25 components per object to be classified as with or without metastasis, the area under the Receiver Operator Characteristic curve achieved with this final set of features was 98%.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133670320","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":"Food Data Analysis using Multidimensional Visualizations based on Point Placement","authors":"Maria Eduarda M. de Holanda, Bernardo Romão, R. Botelho, R. Zandonadi, V. R. P. Borges","doi":"10.5753/sibgrapi.est.2022.23273","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23273","url":null,"abstract":"Food data comprise records regarding nutrients, ingredients, amounts of different vitamins and minerals that can be found in foods. The wide variety of food products that can be stored in large datasets makes the traditional analysis tasks unfeasible and time-consuming when conducted manually by the dietitians and related professionals. This paper describes a method for visualizing food data using point placement strategies to support specialists in tasks related to determining similar food products that can be replaced in specific diets. The proposed method generates a structured representation for food data to be used as input to some state-of-the-art and recent visualizations, such as PCA, t-SNE, UMAP and TriMap. Experiments were conducted to assess the quality of visualizations and the results reported that the nonlinear visualizations presented satisfactory discriminability regarding some food categories and better preservation of the data patterns. A case study based on a visual exploration process was also conducted and demonstrates the specialist successfully finding substitute food products for planning a vegan diet plan.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134142695","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":"Explorando Poda de Transformada na Compressão de Imagens em 360º","authors":"Enzo B. Segala, T. D. Silveira","doi":"10.5753/sibgrapi.est.2022.23267","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23267","url":null,"abstract":"Mídias omnidirecionais armazenam as informações de toda a cena e estão se tornando populares hoje em dia. Tais imagens têm alta resolução para atender aos requisitos de qualidade de novas aplicações, como navegação imersiva para realidade virtual. Este artigo propõe um método de compressão do tipo JPEG para imagens omnidirecionais representadas no formato equirretangular (ERP). Nosso método propõe usar poda de transformada para explorar a amostragem não-uniforme de imagens ERP, adaptando-se às latitudes dos blocos de imagem. Os resultados experimentais mostram que nossa abordagem pode reduzir os custos aritméticos aditivos e multiplicativos em 25,58% e 29,96%, respectivamente, em comparação ao JPEG, ao mesmo tempo em que alcança uma melhora na compressão de 3,85% a uma perda de qualidade de imagem 4,1%.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123901588","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":"Transferring Human Motion and Appearance in Monocular Videos","authors":"Thiago L. Gomes, Renato Martins, Erickson R. Nascimento","doi":"10.5753/sibgrapi.est.2022.23256","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23256","url":null,"abstract":"This thesis investigates the problem of transferring human motion and appearance from video to video preserving motion features, body shape, and visual quality. In other words, given two input videos, we investigate how to synthesize a new video, where a target person from the first video is placed into a new context performing different motions from the second video. Possible application domains are on graphics animations and entertainment media that rely on synthetic characters and virtual environments to create visual content. We introduce two novel methods for transferring appearance and retargeting human motion from monocular videos, and by consequence, increase the creative possibilities of visual content. Differently from recent appearance transferring methods, our approaches take into account 3D shape, appearance, and motion constraints. Specifically, our first method is based on a hybrid image-based rendering technique that exhibits competitive visual retargeting quality compared to state-of-the-art neural rendering approaches, even without computationally intensive training. Then, inspired by the advantages of the first method, we designed an end-to-end learning-based transferring strategy. Taking advantages of both differentiable rendering and the 3D parametric model, our second data-driven method produces a fully 3D controllable human model, i.e., the user can control the human pose and rendering parameters. Experiments on different videos show that our methods preserve specific features of the motion that must be maintained (e.g., feet touching the floor, hands touching a particular object) while holding the best values for appearance in terms of Structural Similarity (SSIM), Learned Perceptual Image Patch Similarity (LPIPS), Mean Squared Error (MSE), and Fréchet Video Distance (FVD). We also provide to the community a new dataset composed of several annotated videos with motion constraints for retargeting applications and paired motion sequences from different characters to evaluate transferring approaches.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129588685","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":"Analysis with SARIMA and FFT Between Two Neighboring Cities Regarding the Implementation of Restrictive Lockdown Measures","authors":"Dunfrey Pires Aragão, Davi H. dos Santos, A. Mondini, C. Distante, L. M. Gonçalves","doi":"10.5753/sibgrapi.est.2022.23280","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23280","url":null,"abstract":"In this article, we perform the SARIMA model to regress the curve of daily COVID-19 deaths and the impact of implementing restrictive measures like lockdown. For comparison, we adopt two neighboring Brazilian cities with similar characteristics and decompose the original curve of cases to extract the seasonal curve. Using Fast Fourier Transform, we noticed that restriction of human circulation had a direct impact on COVID-19 cases and deaths in Araraquara by identifying the frequencies that compose the seasonal curves during the disease’s transmission period, which for future work allows analysis and identification of events and actions through the approach.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134601711","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":"Data Modelless Microservices to increase Multi-Tenancy in BaaS and SaaS Providers with Application to a Covid-19 Data-Lake","authors":"Júlio G. S. F. da Costa, F. Pereira, Davi H. dos Santos, Samuel X. de Souza, L. M. Gonçalves","doi":"10.5753/sibgrapi.est.2022.23284","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23284","url":null,"abstract":"This work is the result of the joint efforts of professionals encouraged to build a solution to predict the contagion and death curves of the Covid-19 pandemic, through the use of data-oriented solutions. This strategy is fundamentally dependent on collection. Regarding this particular aspect, the difficulty is manifested due to the fact that such data exist scattered in different repositories, in different formats, commonly available through files, in addition to being frequently updated. However, in this context, small data scientist teams with few resources suffer in this scenario forced to personally concern themselves with these difficulties. Here, we present a platform that helps these professionals to hide the complexities of having to deal with these issues themselves. This is done by creating and helping to manage, in an automated way, repositories for your users for simplified data consumption and distribution.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127748462","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":"Combining Statistical and Graph-Based Approaches to Classification of Interstitial Pulmonary Diseases","authors":"Álvaro Albuquerque, Yana Mendes, E. Almeida, Raquel Cabral, Fabiane Queiroz","doi":"10.5753/sibgrapi.est.2022.23274","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23274","url":null,"abstract":"Problems of texture classification are consistently challenging once the patterns of different instances can be very similar. In the context of medical imaging, this group of methods can aid in diagnosing patients as part of the concept of Computer-Aided Diagnosis (CAD). In this paper, we propose a method for texture classification in the context of classifying Interstitial Pulmonary Diseases (IPDs) on high-resolution Computed Tomographies (CTs) using concepts of complex networks and statistical metrics. Our approach is based on mapping the input image into multiscale graphs and extracting the closeness centrality metric. We combine the feature vector resulting from the closeness analysis with Haralick and Local Binary Pattern descriptors. We analyze the proposed approach’s performance by comparing it with other methods and discussing its metrics for each class (IPD pattern) of the dataset. Based on the results, we can highlight our technique as an aid on the problem of diagnosing patients with COVID-19.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116713877","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":"Auto-regressive Multi-variable Auto-encoder","authors":"Emerson V. Oliveira, David H. do Santos, L. M. Gonçalves","doi":"10.5753/sibgrapi.est.2022.23279","DOIUrl":"https://doi.org/10.5753/sibgrapi.est.2022.23279","url":null,"abstract":"Due to the global pandemic disclaimer caused by the SARS-COV-2 virus propagation, also called COVID-19, governments, institutions, and researchers have mobilized intending to try to mitigate the effects caused by the virus on society. Some approaches were proposed and applied to try to make predictions of the behavior of possible pandemics indicators. Among those methodologies, some models are data orientated, also known as data-driven, which had considerable prominence over the others. Artificial Neural Networks are a widely used model among datadriven models. In this work, we propose a novel Auto-Encoder RNA architecture. This architecture aims to forecast time series related to the COVID-19 pandemic, particularly the number of deaths. The model uses as inputs possible associated time series with the desired forecasting. In the experiments, we used the representation in time series from the number of COVID-19 cases, deaths, temperature, humidity, and the Air Quality Index (AQI) of São Paulo city in Brazil. The results show that the model has a prominent forecasting accuracy for the COVID-19 deaths time series.","PeriodicalId":182158,"journal":{"name":"Anais Estendidos do XXXV Conference on Graphics, Patterns and Images (SIBGRAPI Estendido 2022)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114852688","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}