Brazil

WebMedia 2021

Como podemos moldar o futuro do Brasil por meio de design e tecnologia integrados à logística?

### Welcome to the Brazilian Symposium on Multimedia Systems and Web 
Promoted annually by the Brazilian Computer Society (SBC), the Brazilian Symposium on Multimedia Systems and Web (WebMedia) is the main event on the subject in Brazil and an excellent opportunity for scientific and technical exchanges between students, researchers and professionals in the areas of Multimedia, Hypermedia and Web. This year, we will be celebrating the 27th edition of WebMedia, to be held from **November 5th to 12th, 2021**, organized by the Federal University of Minas Gerais and Federal University of São João Del Rei. For the second time in its history, the event will be held online, with interaction between the participants being done through tools and web platforms.
 <iframe width="560" height="315" src="https://www.youtube.com/embed/2GvWKRUDtAY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> 
The Webmedia 2021 schedule will feature:
 
* Technical sessions for the presentation of scientific articles.
* National and international lectures
* Panel with Companies
* Workshops
* Short courses
* Project meetings open to the community
 

The topics of interest for paper submission are:
 
* Web and Social Networks
* Multimedia
* Digital TV, Ubiquitous and Mobile Computing
 

In addition to the main track, WebMedia 2021 will feature the Tools and Applications Workshop, the Scientific Initiation Papers Contest, the Theses and Dissertations Contest, the RNP CT-Video Workshop.
 
The organization of WebMedia 2021 is under the responsibility of the [Department of Computer Science at UFMG (DCC/UFMG)](http://dcc.ufmg.br/) and [Department of Computer Science at UFSJ (DCOMP/UFSJ)](https://dcomp.ufsj.edu.br/)
 
**#PartiuWebMedia2021 #WebMedia2021**

The Brazilian Symposium on Multimedia Systems and Web (WebMedia) is the main event on the subject in Brazil and an excellent opportunity for scientific and technical exchanges between students, researchers and professionals in the areas of Multimedia, Hypermedia and Web.

keynote

Tourism is one of the most competitive, lucrative, and socially im-portant economic segments in the world. Therefore, understandingthe behavior of tourists is strategic for improving services andresults. Many studies in the literature explore this issue using tra-ditional data, such as surveys. These approaches provide reliable,precise information, but it is hard to obtain on a large scale, makingstudying worldwide patterns difficult. Location-Based Social Net-works (LBSNs) could minimize these problems due to the ease ofacquiring large amounts of detailed behavioral data. Nevertheless,before using such data, it is imperative to determine whether theinformation reveals behaviors comparable to traditional data - ourground truth. Thus, this work investigates whether the interna-tional flow of tourists measured with LBSN data is similar to thebehavior estimated by the World Tourism Organization with tradi-tional data sources. Our results suggest that LBSNs data representthe studied behavior well, indicating that they could be used inresearch regarding tourism mobility at different levels.

Comparing International Movements of Tourists

O processo de roteamento naInternet of Things(IoT) é um aspectochave quando dispositivos podem mover. O roteamento habilita a co-municação entre os dispositivos, potencializando a funcionalidadedos objetos do dia-a-dia. Contudo, a mobilidade causa frequentesmudanças na topologia tornando o roteamento um desafio. A maio-ria dos protocolos de roteamento da IoT usam um estimador dequalidade de enlace (Link Quality Estimator(LQE)) no processo deescolha de rotas, sendo oExpected Transmission Count(ETX) umdos mais utilizados para ponderar enlaces sem fio entre dispositivosestáticos. Contudo, o ETX não funciona bem quando os dispositivosse movem. Neste artigo, apresentamos oMobility aware ExpectedTransmission Count(MobETX) como estimador para enlaces semfio entre dispositivos móveis. MobETX mantém as característicasdo ETX, mas usa métricas de mobilidade dos dispositivos para darassistência na escolha de rotas. Em nossos experimentos, o pro-tocolo de roteamento usando MobETX apresentou melhora de aomenos5%na taxa de entrega de pacotes quando comparado comETX em cenários de alta mobilidade e>98%de entrega de pacotesem cenários estáticos.

Uma métrica de roteamento para Internet das Coisas Móveis

A considerable part of the culture and behavior of societies arederived from the habits and preferences built up over time. One rep-resentative characteristic that a group can present is the preferencefor certain food groups, thus, building the gastronomic identity ofeach region around the world. With the increasingly broad con-nections established by social networks, it is now more feasibleto analyze such preferences on a large scale. This study examinesrecipes from Allrecipes.com network in three continents: Amer-ica, Europe, and Asia. Based on the evaluations made by the users,a score was developed, allowing the separation of the recipes intwo broad groups: well evaluated and poorly evaluated. All theingredients of these recipes were extracted and used to assemble anetwork whose links were made via pointwise mutual information.This measure of association, used in pairs of ingredients, allowedus to find the main ingredients common to the countries. Our studymay help to better understand the success, or otherwise, of a recipe,in a specific locality, based on its main ingredients. Thus, one ofthe main utilities envisioned for this work is to establish betterrecommendations for recipes.

Estudo de Preferências por Receitas do AllRecipes pelo Mundo

Context-aware recommendation systems use contextual data to rec-ommend a fully personalized suggestion to their users, for instance,using the massive workloads produced by the usage of mobile apps.In this paper, we collected and analyzed a dataset from social me-dia related to the Belo Horizonte’s 2020 Carnival to understandhow this event attracts tourists (or Belo Horizonte’s non-resident),analyzing their interactions with a large recommendation system.We built a point-of-view of an event mixing its features in twosocial networks: Twitter and Google Review. Our results show thatcombining traits lead to better information about the given contextusing social networks. It helps both the tourists choosing where totravel and the local establishments to provide better services.

Analyzing A Touristic Event Popularity Using Social Networks

Muitas técnicas têm sido desenvolvidas em prol da vigilância au-tomatizada, desde alarmes inteligentes aos sistemas de câmeras. Aautomatização da análise de imagens em vídeos, principalmente adetecção de objetos tem crescido nos últimos tempos.Este trabalhotem por principal objetivo detectar objetos específicos para auxiliarno alerta sobre porte de armas, incêndios e pichações, em temporeal, aos órgãos da Secretaria de Segurança Pública da Bahia.

Análise experimental para a detecção de objetos em vídeos de câmeras de vigilância - Uma abordagem para porte de arma, incêndio e pichação.

Candidates and job vacancies may remain for long periods withoutreal opportunities in Recommendation Systems (RSs) for onlinerecruitment. We refer to these scenarios as theMatching ScarcityProblem(MaSP). We formalize the MaSP and propose a strategy toidentify candidates and vacancies suffering from it. We also proposefive heuristics, which suggest changes in CVs and jobs descriptions,to mitigate the MaSP. The best heuristic was able to reduce up to50% the number of CVs and jobs suffering from MaSP.

O Problema de Escassez de Matchings em Recomendações nos Domínios de Recrutamento

Wearable devices emerged from the advancement of communica-tion technology and the miniaturization of electronic components.These devices periodically monitor the user’s vital signs and gen-erally have low battery life. This thesis proposes Odin, a modelfor optimized collection of vital signs based on adaptive strategies.The comparison with related works indicates that Odin is the onlyproposal that presents an adaptive collection of vital signs, whichallows the optimized generation of context history. The researchvalidation is divided in three groups. In the first group, simulationswere performed in different scenarios, through requisition control,an increase of 114% in battery life was obtained in the adaptivescenario compared to a collection without adaptivity. In the secondgroup, the Odin model was applied to a real physiological data-base and allowed for a reduction in the number of requests due tothe adaptability of the collection. This reduction optimized batteryconsumption by 66% compared to a collection without adaptability.Finally, in the third group, the model was applied in collecting datathrough an Arduino and also a cardiac monitoring strap availableon the market (Polar H7). During this third part of the evaluation,savings of 18% were observed in the power consumption of themobile devices involved in the data collection.

Como podemos moldar o futuro do Brasil por meio de design e tecnologia integrados à logística?

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Comparing International Movements of Tourists

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Como podemos moldar o futuro do Brasil por meio de design e tecnologia integrados à logística?

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Next from WebMedia 2021

Comparing International Movements of Tourists

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O Problema de Escassez de Matchings em Recomendações nos Domínios de Recrutamento

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

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