A big video data transcoding service for social media over federated clouds

2019 ◽  
Vol 79 (13-14) ◽  
pp. 9037-9061
Author(s):  
Alfonso Panarello ◽  
Antonio Celesti ◽  
Maria Fazio ◽  
Antonio Puliafito ◽  
Massimo Villari
Keyword(s):  
Social Media ◽  
Video Data ◽  
Transcoding Service

scholarly journals Utilization of Big Data Analysis Through Public Video, Virus Data Cooperation, and Social Media as the Surveillance to COVID-19 in Indonesia

2021 ◽  
Vol 25 (1) ◽  
pp. 1
Author(s):  
Achmad Maulana Sirojjudin
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Analysis ◽  
Virus Disease ◽  
Big Data Analysis ◽  
Video Data ◽  
Communication Process ◽  
Mediated Communication ◽  
Communication Practices ◽  
Geographical Characteristics

This article discusses Big Data's use as a surveillance tool for the spread of Corona Virus Disease 2019 (COVID-19), both in Indonesia and the world. In Indonesia, the range of COVID-19 is increasingly sporadic, causing mass panic and Indonesia's geographical characteristics, which will be difficult when this spread could not control quickly. Researchers are conducting several studies to overcome this pandemic, including supervision, features, handling, mobility, patient interaction, treatment evaluation, and the biological structure. These studies become data and lead to Big Data. This article explores how to use Big Data analysis to monitor the spread of COVID-19 as a communication process that reflects mediated communication as a form of mobility and spatial relationships in communication practices. The method used in this article is a literature review and uses meta-synthesis techniques as its analysis. The literature sources used are articles in highly reputable international journals. Based on the reports, various ways to monitor the virus's spread, through public video data, GPS, and social media tracking, trace the patient's movement. Big Data can also provide data collaboration for viruses and pathogens for further research as digital mediated communication is anchored by the diversity of places and the mobility of people, data, and objects.

scholarly journals A feasibility study on identifying drinking-related contents in Facebook through mining heterogeneous data

2018 ◽  
Vol 25 (4) ◽  
pp. 1756-1767 ◽  
Author(s):  
Omar ElTayeby ◽  
Todd Eaglin ◽  
Malak Abdullah ◽  
David Burlinson ◽  
Wenwen Dou ◽  
...  
Keyword(s):  
Social Media ◽  
Feasibility Study ◽  
Prediction Models ◽  
Heterogeneous Data ◽  
Video Data ◽  
Data Types ◽  
Text Data ◽  
Related Text ◽  
Text Images ◽  
Severe Health Problem

Binge drinking is a severe health problem faced by many US colleges and universities. College students often post drinking-related text and images on social media, portraying their alcohol use as socially desirable. In this project, we investigated the feasibility of mining the heterogeneous data (e.g. text, images, and videos) on Facebook to identify drinking-related contents. We manually annotated 4266 posts during 21 October 2011 and 3 November 2014 from “I’m Shmacked” group on Facebook, where 511 posts were drinking-related. Our machine learning models show that by combining heterogeneous data types, we were able to identify drinking-related posts with an F1-score of 0.81. Prediction models built on text data were more reliable compared to those built on image and video data for predicting drinking-related contents. As the first step of our efforts in this direction, this feasibility study showed promise toward unleashing the potential of mining social media to identify students who binge drink.

scholarly journals Survei Pengetahuan Orang Tua melalui Kegiatan Sekolah Keluarga Balita (SKB) dengan Online Learning

2020 ◽  
Vol 2 (3) ◽  
pp. 147-153
Author(s):  
Ari Indra Susanti ◽  
Dani Ferdian ◽  
Eka Noyan Nur Annisa ◽  
Raya Faiha Calista
Keyword(s):  
Social Media ◽  
Online Learning ◽  
Health Education ◽  
Research Method ◽  
Sampling Technique ◽  
Video Data ◽  
Learning Activities ◽  
Cross Sectional ◽  
Digital Era ◽  
Information Media

Health education in the digital era requires one social media, namely WhatsApp as an information media that is considered effective and efficient. Thus, parents get health education through WhatsApp in the Sekolah Keluarga Balita (SKB) online learning activities with the agreed time. This study aims to determine the knowledge of parents about the First 1000 Days of Life (HPK) through the SKB  online learning that used WhatsApp. The research method used description with a cross-sectional approach. This research was conducted in March 2020 among parents of toddlers living in the fostered villages of Kampung Bestari Astra (KBA) as many as 150 people. The sampling technique was used accidental sampling. This questionnaire was given to the respondent in the form of bit.ly/ (google form). This questionnaire was filled out by respondents before being given a health education video. Data analysis using univariate have presented in the form of a frequency distribution table. The results showed that most participants in the Joint Decree were 135 people, with the age of 20-35 years as many as 60 people, and 78 parents were unfavorable knowledge. The conclusion in this study that some parents aged 20-35 years have less knowledge about the First 1000 Days of Life (HPK) so that health education is needed in a Toddler Family School (SKB) online using WhatsApp.

scholarly journals Video Data for Escalator Accidents

2019 ◽  
Vol 63 (1) ◽  
pp. 1839-1843
Author(s):  
Thomas J. Ayres
Keyword(s):  
Social Media ◽  
Video Data ◽  
Large Sample ◽  
Behavioral Observations ◽  
Wrong Direction ◽  
Safety Interventions

Many videos of escalator accidents are available on social media, especially YouTube. A review of a large sample of such videos reveals information about some types of accidents not readily found or well described in hospital reports and behavioral observations. These include numerous deliberate misuse modes such as sliding or riding on handrails, as well as risky activity such as wearing clothes that can become entangled in the mechanism and traveling in the wrong direction, and various mechanical problems. Advantages and limitations of video data are discussed, along with suggestions for possible safety interventions.

scholarly journals Metadata Extraction Analysis: A Review of Video Data in Effect to Social Media Compression

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dawn Iris Calibo ◽  
Jasmin D. Niguidula
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Video Compression ◽  
Social Networking Sites ◽  
Video Data ◽  
Metadata Extraction ◽  
The Social ◽  
Similarities And Differences ◽  
The Web

In the 21st century, the unending improvement of the web, online networking has made approaches to take advantage to streamline the speed of its webpage. Through metatadta extraction, two of the most well-known social networking sites were subjected to experimentation to see the impacts of video compression using standard parameters when uploaded to the said sites. The assessment demonstrates that both sites display keys similarities and differences. It is further explained in the research the different structures amongst the social network that create the outcome

scholarly journals Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yan Li ◽  
Zheng Wan
Keyword(s):  
Video Transmission ◽  
Video On Demand ◽  
Video Data ◽  
Transmission Model ◽  
Smart Devices ◽  
Video Content ◽  
Video Caching ◽  
Transaction Process ◽  
Streaming Service ◽  
Transcoding Service

In recent years, the number of smart devices has exploded, leading to an unprecedented increase in demand for video live and video-on-demand (VoD) services. Also, the privacy of video providers and requesters and the security of requested video data are much more threatened. In order to solve these issues, in this paper, a blockchain-enabled CMEC video transmission model (Bl-CMEC) for intelligent video caching and transcoding will be proposed to ensure the transactions’ transparency, system security, user information privacy, and integrity of the video data, enhance the ability of severs in actively caching popular video content in the CMEC system, and realize transcoding function at network edge nodes. Furthermore, we chose a scheme based on deep reinforcement learning (DRL) to intelligently access the intracluster joint caching and transcoding decisions. Then, the joint video caching and transcoding decision smart contract is specially designed to automatically manage the transaction process of the joint caching and transcoding service, which records key information of joint caching and transcoding transactions and payment information on a continuous blockchain. The simulation results demonstrate that the proposed Bl-CMEC framework not only can provide users with better QoE performance for video streaming service but also can ensure the security, integrity, and consistency for the video providers, video requesters, and video data.

Where Social Media Meets AAC

ASHA Leader ◽  
2015 ◽  
Vol 20 (7) ◽  
Author(s):  
Vicki Clarke
Keyword(s):  
Social Media

Making Twitter Work For You

ASHA Leader ◽  
2013 ◽  
Vol 18 (5) ◽  
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Speech Language Pathologists

As professionals who recognize and value the power and important of communications, audiologists and speech-language pathologists are perfectly positioned to leverage social media for public relations.

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