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Proceedings of the 24th Brazilian Symposium on Multimedia and the Web最新文献

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Bibliographic Analysis to Calculate the Relevance of Publications 计算出版物相关性的书目分析
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3267445
Lucas da Cruz Madeira, Michele A. Brandão, R. R. Gomes
{"title":"Bibliographic Analysis to Calculate the Relevance of Publications","authors":"Lucas da Cruz Madeira, Michele A. Brandão, R. R. Gomes","doi":"10.1145/3243082.3267445","DOIUrl":"https://doi.org/10.1145/3243082.3267445","url":null,"abstract":"A large amount of information available on the Web challenges people to find the relevant ones. Here, we propose a new approach to help researchers to find the best references for given keywords. Such approach is based on the foundations of Lotka and Zipf laws. Also, we apply different information organization techniques to treat, store and index publications available in Scopus database. Our results reveal that our new approach is promising to identify relevant publications.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123087208","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
A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks 可视化问答任务中数据增强的众包工具
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3267455
Ramon Silva, Augusto Fonseca, R. Goldschmidt, J. Santos, Eduardo Bezerra
{"title":"A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks","authors":"Ramon Silva, Augusto Fonseca, R. Goldschmidt, J. Santos, Eduardo Bezerra","doi":"10.1145/3243082.3267455","DOIUrl":"https://doi.org/10.1145/3243082.3267455","url":null,"abstract":"Visual Question Answering (VQA) is a task that connects the fields of Computer Vision and Natural Language Processing. Taking as input an image I and a natural language question Q about I, a VQA model must be able to produce a coherent answer R (also in natural language) to Q. A particular type of visual question is one in which the question is binary (i.e., a question whose answer belongs to the set {yes, no}). Currently, deep neural networks correspond to the state of the art technique for training of VQA models. Despite its success, the application of neural networks to the VQA task requires a very large amount of data in order to produce models with adequate precision. Datasets currently used for the training of VQA models are the result of laborious manual labeling processes (i.e., made by humans). This context makes relevant the study of approaches to augment these datasets in order to train more accurate prediction models. This paper describes a crowdsourcing tool which can be used in a collaborative manner to augment an existing VQA dataset for binary questions. Our tool actively integrates candidate items from an external data source in order to optimize the selection of queries to be presented to curators.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247739","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
A Lightweight Mobile Service for Context Representation through an IoT-oriented Ontology 通过面向物联网的本体实现上下文表示的轻量级移动服务
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3243086
E. Veiga, Lucas Balbino de Melo Ferreira, M. F. Arruda, Alessandra Alaniz Macedo, R. B. Neto
{"title":"A Lightweight Mobile Service for Context Representation through an IoT-oriented Ontology","authors":"E. Veiga, Lucas Balbino de Melo Ferreira, M. F. Arruda, Alessandra Alaniz Macedo, R. B. Neto","doi":"10.1145/3243082.3243086","DOIUrl":"https://doi.org/10.1145/3243082.3243086","url":null,"abstract":"Internet of Things is a paradigm in which sensors, actuators, devices or things seamlessly interact with each other to achieve common goals. Such interaction is reachable if an expressive, interoperable and lightweight representation of context information exists. The literature has recommended ontologies as the main formalism for context information representation, but depending on the ontology being used it can be complex and heavy to run on resource-constrained devices. This paper presents a mobile service which represents context information using the emergent IoT-Lite ontology. An experiment with such service is performed in terms of time behavior and memory utilization when representing an increasing amount of data. Results demonstrate our service is lightweight if considered the amounts of time and memory spent for representing ontology-based data even in a resource-constrained device.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126749331","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: 4
Analysis of Urban Regions Popularity Using Foursquare 利用Foursquare分析城市区域的受欢迎程度
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3243119
André S. Xavier, Alice A. F. Menezes, F. Nakamura, C. M. Figueiredo
{"title":"Analysis of Urban Regions Popularity Using Foursquare","authors":"André S. Xavier, Alice A. F. Menezes, F. Nakamura, C. M. Figueiredo","doi":"10.1145/3243082.3243119","DOIUrl":"https://doi.org/10.1145/3243082.3243119","url":null,"abstract":"With the raising of social networks and social sensing, several methods and applications focused on urban and economic analysis emerged to assist urban planning and business solutions. Thus, the inhabitants of a city share social data according to their context, acting as sensors. In this way, location-based social networks have become important because they associate social data with precise locations, which allows promising studies. In this work, we present a method of popularity analysis in urban regions through Foursquare, using the concept of functional regions. For this, we used 204,737 check-ins for 2 years from the same locality for a case study. In this way, we consider not only the main functions of each region, but also the secondary functions. We also present a machine learning model in which a neural network is used to define strategic regions for venues considering not only the subcategories of Foursquare, but also the macrocategories.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124242941","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
RecTwitter RecTwitter
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3243103
Paulo Roberto Sampaio Peixoto de Souza, F. Durão
{"title":"RecTwitter","authors":"Paulo Roberto Sampaio Peixoto de Souza, F. Durão","doi":"10.1145/3243082.3243103","DOIUrl":"https://doi.org/10.1145/3243082.3243103","url":null,"abstract":"Twitter is a microblog which contains large amounts of users who contribute with messages for a wide variety of real-world events. It is possible to identify users who share interests using the messages published in their timeline. However, this task is an exhausting process because the algorithm has to analyze all users' messages. In this project, we propose a semantic recommendation system based on SWRL rules to recommend accounts to be followed or unfollowed. In order to evaluate the recommendations, we conducted an experiment with real users. The results show that 80% of the recommendations were generated to unfollow and 20% to follow some account.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120955359","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: 1
Identification of Most Popular Musical Genres and their Influence Factors 最流行音乐类型的识别及其影响因素
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3264665
C. V. Araujo, E. Nakamura
{"title":"Identification of Most Popular Musical Genres and their Influence Factors","authors":"C. V. Araujo, E. Nakamura","doi":"10.1145/3243082.3264665","DOIUrl":"https://doi.org/10.1145/3243082.3264665","url":null,"abstract":"Rap surpassed Rock as the most popular musical genre in the United States, according Nielsen Music. Understanding how this process occurred is of paramount importance for researches on prediction of musical success. Analyzing data from Billboard Year End Hot 100 rankings, we were able to identify that outstanding artists, such as Beatles and Mariah Carey, and movements, like New Wave and Trap, are the major factors influencing the success of a particular genre. Plus, we noticed that Pop Music is more inclined to be in the top spot.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130256150","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: 3
ESPIM System: Interface Evolution to Enable Authoring and Interaction with Multimedia Intervention Programs ESPIM系统:接口进化，使创作和交互与多媒体干预程序
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3243120
Kamila R. H. Rodrigues, Bruna C. R. Cunha, Isabela Zaine, C. C. Viel, L. Scalco, M. G. Pimentel
{"title":"ESPIM System: Interface Evolution to Enable Authoring and Interaction with Multimedia Intervention Programs","authors":"Kamila R. H. Rodrigues, Bruna C. R. Cunha, Isabela Zaine, C. C. Viel, L. Scalco, M. G. Pimentel","doi":"10.1145/3243082.3243120","DOIUrl":"https://doi.org/10.1145/3243082.3243120","url":null,"abstract":"Collecting data and carrying out interventions with different populations of interest is a common procedure in the professional life of specialists such as psychologists, gerontologists, etc. The ESPIM is a platform designed to enable the authoring of intervention programs by specialists of different domains. The programs authoring is done via a Web interface, and a mobile player is used to display the intervention programs elaborated for the populations of interest of these specialists. This paper reports on the evolution and improvement of the components of this platform. Evaluations conducted with health and education experts point out that the current Web version of the platform is effective for program authoring and is easy to use. Meanwhile, the mobile player has been used by populations of interest of these experts who report on ease of use and engagement with intervention programs. Two real studies using the ESPIM are discussed in this paper and the analyzes conducted in the data collected indicates that most of the participants had a more positive experience with programs when the interaction involves multimedia resources, such as videos, images and audios.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131831963","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
Redundant Visual Coverage of Prioritized Targets in IoT Applications 物联网应用中优先目标的冗余视觉覆盖
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3243090
Elivelton O. Rangel, D. G. Costa, Angelo C. Loula
{"title":"Redundant Visual Coverage of Prioritized Targets in IoT Applications","authors":"Elivelton O. Rangel, D. G. Costa, Angelo C. Loula","doi":"10.1145/3243082.3243090","DOIUrl":"https://doi.org/10.1145/3243082.3243090","url":null,"abstract":"Visual monitoring is an important service for various emerging and traditional applications in the Internet of Things (IoT) field, since still images and video streams can be gathered and processed for different kinds of multimedia-based tasks. Frequently, a set of targets may need to be covered by interconnected cameras, providing concurrent multiple views under different perspectives for the applications, besides enhanced resistance to camera failures. In this context, if targets have different monitoring priorities, the configuration of the cameras can be optimized, demanding proper algorithms to maximize redundant coverage over more relevant targets. This paper proposes a lightweight greedy algorithm and a costly but more effective evolutionary algorithm to optimize redundant visual coverage by cameras, both aimed at reduction of uncovered targets and maximization of redundant coverage over the most relevant targets, which may improve the overall quality of different visual IoT applications.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115074271","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: 3
Dealing with Data from Multiple Web Sources 处理来自多个Web源的数据
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3264609
Natércia A. Batista, Michele A. Brandão, M. B. Pinheiro, D. H. Dalip, Mirella M. Moro
{"title":"Dealing with Data from Multiple Web Sources","authors":"Natércia A. Batista, Michele A. Brandão, M. B. Pinheiro, D. H. Dalip, Mirella M. Moro","doi":"10.1145/3243082.3264609","DOIUrl":"https://doi.org/10.1145/3243082.3264609","url":null,"abstract":"Web data are heterogeneous and unstructured, which defines challenges for data crawling, integration and preprocessing. Different studies are \"data-oriented\" (i.e. based on the available data) but their results are restricted to their specific data. In contrast, there are various problems prior to identifying what data is needed to solve them, and often multiple data sources are needed. In this context, crawling, integrating and preprocessing data appropriately enables to create datasets for solving such problems. Therefore, this short course addresses these three activities by discussing challenges and practical solutions.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129497836","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: 1
Developing Deep Learning Models for Multimedia Applications in TensorFlow 在TensorFlow中开发多媒体应用的深度学习模型
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web Pub Date : 2018-10-16 DOI: 10.1145/3243082.3264605
A. Busson, L. Figueiredo, G. Santos, A. L. B. Damasceno, S. Colcher, R. Milidiú
{"title":"Developing Deep Learning Models for Multimedia Applications in TensorFlow","authors":"A. Busson, L. Figueiredo, G. Santos, A. L. B. Damasceno, S. Colcher, R. Milidiú","doi":"10.1145/3243082.3264605","DOIUrl":"https://doi.org/10.1145/3243082.3264605","url":null,"abstract":"Methods based on Deep Learning became state-of-the-art in several Multimedia challenges. However, there is a gap of professionals to perform Deep Learning in the industry. Therefore, this short course aims to present the grounds and ways to develop multimedia applications using methods based on Deep Learning. Likewise, this short course is an opportunity for students and IT professionals can qualify yourselves.","PeriodicalId":213545,"journal":{"name":"Proceedings of the 24th Brazilian Symposium on Multimedia and the Web","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129101401","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: 1
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