Proceedings of the Brazilian Symposium on Multimedia and the Web最新文献_第8页

An Ontological Model and Services for Capturing and Tracking Provenance in Decentralized Social Networks 在分散的社会网络中捕获和跟踪来源的本体模型和服务

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479637

Cíntia Souza, José Ronaldo Júnior, Cássio V. S. Prazeres

{"title":"An Ontological Model and Services for Capturing and Tracking Provenance in Decentralized Social Networks","authors":"Cíntia Souza, José Ronaldo Júnior, Cássio V. S. Prazeres","doi":"10.1145/3470482.3479637","DOIUrl":"https://doi.org/10.1145/3470482.3479637","url":null,"abstract":"The rise of Decentralized Online Social Networks (DOSNs) and the increase in the number of active users on these networks offer an opportunity to develop solutions related to verifying origin, description paths and indicating the trajectory of the data that traffic in these networks. Provenance information is a key aspect of social networks because it is possible to evaluate the authenticity, reliability, and relevance of the information through its results. The speed of information generation and sharing, the decentralized storage strategy associated with the large volume of data represents a challenge for data provenance. Thus, this paper proposes DOSNPROV, a data provenance ontological model based on the W3C PROV-O specification. In addition, this paper proposes services based on DOSN-PROV model to support capture and tracking of provenance information in DOSNs. We evaluated DOSN-PROV model in two stages and demonstrated its quality and compliance with the proposed domain. The services underwent an evaluation of their performance and their results indicated acceptable response times.","PeriodicalId":350776,"journal":{"name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671653","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

Extracting Textual Features from Video Streaming Services Publications to Predict their Popularity 从视频流媒体服务出版物中提取文本特征以预测其受欢迎程度

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479624

Sidney Loyola de Sá, A. Paes, Antonio A. de A. Rocha

{"title":"Extracting Textual Features from Video Streaming Services Publications to Predict their Popularity","authors":"Sidney Loyola de Sá, A. Paes, Antonio A. de A. Rocha","doi":"10.1145/3470482.3479624","DOIUrl":"https://doi.org/10.1145/3470482.3479624","url":null,"abstract":"The Internet's popularization has increased the amount of content produced and consumed on the Web. To take advantage of this new market, major content producers such as Netflix and Amazon Prime have emerged focusing on video streaming services. However, despite the large number and diversity of videos made available by these content providers, few of them attract most users' attention. For example, in the data explored in this paper, only 6% of the most popular videos are responsible for 85% of the total views. Finding out in advance which videos will be popular is not trivial, specially because of the large amount of influencing variables. Nevertheless, a tool with this ability would be of great value to help dimensioning network infrastructure and to properly recommend new content to users. In this work, we propose two approaches to obtaining features to classify the popularity of a video before it is published. The first one builds upon predictive attributes defined by feature engineering. The second leverages word embeddings from the descriptions and titles of the videos. We experiment with the proposed approaches on a set of videos from GloboPlay, the largest provider of video streaming services in Latin America. A combination of both engineered features and the embeddings using Random Forest machine learning algorithm reached the best result, with an accuracy of 87%.","PeriodicalId":350776,"journal":{"name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126578529","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

Pattern Identification of Bot Messages for Media Literacy 媒介素养中Bot信息的模式识别

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479452

Eric Ferreira dos Santos, Danilo S. Carvalho, Jonice Oliveira

引用次数: 0

An Approach for Automatic Description of Characters for Blind People 一种面向盲人的汉字自动描述方法

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479617

Itamar Rocha Filho, Felipe Honorato, J. W. Lucena, J. P. Teixeira, T. Araújo

引用次数: 2

@grogest_Ambiental: A Web-based Decision Support System for agribusiness 基于web的农业综合企业决策支持系统

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479612

Thiago Feijó, J. M. David, Regina M. M. Braga, M. Otenio, V. R. Paula, Gabriele Medeiros Santos, Fernanda Campos, Victor Ströele

{"title":"@grogest_Ambiental: A Web-based Decision Support System for agribusiness","authors":"Thiago Feijó, J. M. David, Regina M. M. Braga, M. Otenio, V. R. Paula, Gabriele Medeiros Santos, Fernanda Campos, Victor Ströele","doi":"10.1145/3470482.3479612","DOIUrl":"https://doi.org/10.1145/3470482.3479612","url":null,"abstract":"In agribusiness, the treatment and sustainable management of waste in intensive production systems must consider productivity and economic gains in the short term and the sustainability of agricultural production. The acquisition of technical information, and the knowledge about the characteristics of the rural property, are fundamental for stakeholders, especially considering the adequacy of sustainable environmental practices. It is necessary to provide a web-based system to support stakeholders in discovering and understanding their productive context. This paper proposes a solution to support stakeholders' decision-making to improve sustainable practices in agribusiness. The proposed solution is applied in the agricultural domain, focusing on sustainability, by implementing a web system supported by an ontology to organize and provide strategic information through a mobile app. Technical and regulatory environmental practices documents are recommended for a relevant context, considering a feasibility study with experts in the field. As a result, the approach provided decision-making support offering technical information efficiently and agile for stakeholders.","PeriodicalId":350776,"journal":{"name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128375748","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

A Cluster-Based Method for Action Segmentation Using Spatio-Temporal and Positional Encoded Embeddings 基于聚类的时空和位置编码嵌入动作分割方法

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479632

Guilherme de A. P. Marques, A. Busson, Alan Livio Vasconcelos Guedes, S. Colcher

引用次数: 0

Quality Enhancement of Highly Degraded Music Using Deep Learning-Based Prediction Models for Lost Frequencies 使用基于深度学习的丢失频率预测模型来提高高度退化音乐的质量

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479635

A. Serra, A. Busson, Alan Livio Vasconcelos Guedes, S. Colcher

引用次数: 2

Sensory Effect Extraction for 360° Media Content 360°媒体内容的感官效果提取

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479620

R. Abreu, J. Santos, D. Muchaluat-Saade

引用次数: 1

Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation 基于协同过滤和配方上下文的自动过敏安全配方生成的成分替代推荐

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479622

L. Pacífico, Larissa F. S. Britto, Teresa B Ludermir

{"title":"Ingredient Substitute Recommendation Based on Collaborative Filtering and Recipe Context for Automatic Allergy-Safe Recipe Generation","authors":"L. Pacífico, Larissa F. S. Britto, Teresa B Ludermir","doi":"10.1145/3470482.3479622","DOIUrl":"https://doi.org/10.1145/3470482.3479622","url":null,"abstract":"Recipe sharing websites have become even more popular in the past few decades, and such repositories are able to keep hundreds of thousands of cooking recipes at the same time. Many recipe websites are developed with the participation of their community of users, which are allowed to upload new recipes and to provide evaluations and comments on the available recipes. However, in such repositories, the amount of recipes that are safe for users with special needs, such as food restrictions or allergies, is much smaller than ordinary food recipes, what may restrict the access and usability provided by such websites to that public. In this work, we propose a new recipe recommendation and generation system, based on a data-driven approach for single ingredient substitution, in such a way that recipes containing forbidden ingredients, according to a category of user food restrictions, are adapted by replacing such ingredients by safe ingredients. The proposed ingredient substitute recommendation system is based on a filtering process that takes into consideration the original recipe context, the relationship among sets of ingredients and the user preferences, towards the generation of recipes that are safe, and at the same time contemplate both user needs and tastes. The proposed system is evaluated by means of a qualitative analysis, showing promising results.","PeriodicalId":350776,"journal":{"name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207445","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

Semantically Time Tracking of Events from Web Documents 从Web文档事件的语义时间跟踪

Proceedings of the Brazilian Symposium on Multimedia and the Web Pub Date : 2021-09-27 DOI: 10.1145/3470482.3479627

Welton Santos, E. Fazzion, D. Dias, M. Guimarães, Elisa Tuler, L. Rocha

引用次数: 0