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Video genetics

John R. Kender, Matthew L. Hill, Apostol (Paul) Natsev, John R. Smith, Lexing Xie
2010 Proceedings of the international conference on Multimedia - MM '10  
We explore in a single but large case study how videos within YouTube, competing for view counts, are like organisms within an ecology, competing for survival.  ...  used in genetics-which also provides useful feedback for tuning the near-dup detection and clustering process; and quickly classify videos via a kind of Lempel-Ziv encoding into the categories of news  ...  THE CASE STUDY Data Collection During three months of 2009, we collected 200K videos and their metadata from YouTube, on 22 different topics.  ... 
doi:10.1145/1873951.1874198 dblp:conf/mm/KenderHNSX10 fatcat:rnjq3nei6jdzbl44vvxwjkrk6a

Bilingual Cancer Genetic Education Modules for the Deaf Community: Development and Evaluation of the Online Video Material

Patrick Boudreault, Alicia Wolfson, Barbara Berman, Vickie L. Venne, Janet S. Sinsheimer, Christina Palmer
2017 Journal of Genetic Counseling  
The Deaf Genetics Project team used a bilingual approach to develop a 37-min interactive Cancer Genetics Education Module (CGEM) video in ASL with closed captions and quizzes, and demonstrated that this  ...  As a result, there are few genetic counseling materials available in ASL.  ...  Informed consent was obtained from all patients for being included in the study. Animal Studies No animal studies were carried out by the authors for this article.  ... 
doi:10.1007/s10897-017-0188-2 pmid:29260487 fatcat:wn2m4e7aynfftfpyzhcok7dgyy

The role of online videos in research communication: A content analysis of YouTube videos cited in academic publications

Kayvan Kousha, Mike Thelwall, Mahshid Abdoli
2012 Journal of the American Society for Information Science and Technology  
A total of 1,808 Scopus publications cited at least one YouTube video and there was a steady upward growth in citing online videos within scholarly publications from 2006 to 2011, with YouTube citations  ...  To investigate, we extracted the URL citations to YouTube videos from academic publications indexed by Scopus.  ...  Thank you to the referees for their helpful suggestions, including a title change.  ... 
doi:10.1002/asi.22717 fatcat:3yhjv46sgbb5tickftjplglssu

Autobiologies on YouTube: narratives of direct-to-consumer genetic testing

Anna Harris, Susan E. Kelly, Sally Wyatt
2014 New genetics and society (Print)  
In order to help address this gap, this study deploys narrative analysis of YouTube videos posted by individuals who have purchased DTC genetic testing for disease.  ...  In the videos analyzed, we found a new form of storytelling about this ambiguous state of illness, which we refer to as autobiology.  ...  Acknowledgements The authors would like to thank the following individuals and groups for their helpful comments on earlier drafts of the paper: members of the Nordic Network for Studies in Narrativity  ... 
doi:10.1080/14636778.2014.884456 pmid:24772003 pmcid:PMC3996527 fatcat:55bgkndferao5lxvqljfhoebcq

Reconstructing proprietary video streaming algorithms

Maximilian Grüner, Melissa Licciardello, Ankit Singla
2020 USENIX Annual Technical Conference  
Even though algorithms for adaptively setting video quality in online streaming are a hot topic in networking academia, little is known about how popular online streaming platforms do such adaptation.  ...  To address this gap, we pursue an ambitious goal: reconstruction of unknown proprietary video streaming algorithms.  ...  Different platforms encode content at varied resolutions and number of resolutions, ranging from 3 quality levels for TubiTV to 6.5 on YouTube (on average across our test videos; YouTube has available  ... 
dblp:conf/usenix/GrunerLS20 fatcat:jq2yopwjuja6pgcs32wq7jagli

Data Placement In Heterogeneous Storage Of Short Videos

W. Jaipahkdee, C. Srinilta
2009 Zenodo  
This paper addresses data placement issue in short video sharing website. Workload contributed by a video is estimated by the number of views and life time span of existing videos in same category.  ...  In heterogeneous storage environment where storage elements from different vendors with different capacity and performance are put together, workload should be distributed according to storage capability  ...  Cheng et. al. presented a systematic and in-depth measurement study on the statistics of YouTube videos [6] .  ... 
doi:10.5281/zenodo.1085132 fatcat:n72j7mq5knb37als6ra7gu3uty

The consumer representation of DNA ancestry testing on YouTube

Alessandro R. Marcon, Christen Rachul, Timothy Caulfield
2020 New genetics and society (Print)  
Questions persist around the impact of ancestry DNA testing in reifying a scientifically inaccurate conception of race and what impact YouTube videos might have on audiences.  ...  This study examined individuals discussing their ancestry DNA testing results on YouTube by searching for the two most popular testing companies (23andMe; Ancestry) and the phrase "DNA results."  ...  The authors acknowledge editing contributions from Robyn Hyde-Lay, who also provided administrative assistance throughout the project.  ... 
doi:10.1080/14636778.2020.1799343 fatcat:c3hz4gf7pfbplb27x6g7pokgny

Obesity in the New Media: A Content Analysis of Obesity Videos on YouTube

Jina H. Yoo, Junghyun Kim
2012 Health Communication  
This study examines (1) how the topics of obesity are framed and (2) how obese persons are portrayed on YouTube video clips.  ...  We discuss a potential impact of YouTube videos on shaping viewers' perceptions about obesity and further reinforcing stigmatization of obese persons.  ...  If a video with the same title or a slightly different title with identical content appeared multiple times on the search result list, the video was counted as one case.  ... 
doi:10.1080/10410236.2011.569003 pmid:21809934 fatcat:3k7v432vlffqzedfu2holp5rc4

Measuring Gender Bias in Educational Videos: A Case Study on YouTube [article]

Gizem Gezici, Yucel Saygin
2022 arXiv   pre-print
As a first step towards measuring possible gender bias in online platforms, we have investigated YouTube educational videos in terms of the perceived gender of their narrators.  ...  Our preliminary results demonstrate that there is a significant bias towards the male gender on the returned YouTube educational videos, and the degree of bias varies when we compare STEM and NON-STEM  ...  Both Figure 3 (a) and (b) confirm our findings in Table 5 . Conclusion & Future Work In this work, we investigated possible bias in educational videos with a case study on YouTube.  ... 
arXiv:2206.09987v1 fatcat:zhuwdpb6hvg2bals3eiocgklku

Alzheimer's Disease in Social Media: Content Analysis of YouTube Videos

Weizhou Tang, Kate Olscamp, Seul Ki Choi, Daniela B Friedman
2017 Interactive Journal of Medical Research  
Methods: Videos uploaded to YouTube from 2013 to 2015 were searched with the term "Alzheimer's disease" on April 30th, 2016.  ...  Objective: This study aims to examine video characteristics, content, speaker characteristics, and mobilizing information (cues to action) of YouTube videos focused on AD.  ...  The CDC Healthy Brain Research Network is a Prevention Research Centers program funded by the CDC Alzheimer's Disease and Healthy Aging Program through cooperative agreement U48/DP005000-01S7.  ... 
doi:10.2196/ijmr.8612 pmid:29051137 pmcid:PMC5668636 fatcat:a3hbwmcsdfhgbpgk2wwxqekzli

The Kinetics Human Action Video Dataset [article]

Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman
2017 arXiv   pre-print
Each clip lasts around 10s and is taken from a different YouTube video.  ...  We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action.  ...  We are very grateful for help from Andreas Kirsch, John-Paul Holt, Danielle Breen, Jonathan Fildes, James Besley and Brian Carver.  ... 
arXiv:1705.06950v1 fatcat:hprvyrbelfalpf23m6oums6aui

End-to-End Learning of Visual Representations from Uncurated Instructional Videos [article]

Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman
2020 arXiv   pre-print
With this approach we are able to learn strong video representations from scratch, without the need for any manual annotation.  ...  (YouTube-8M Segments, CrossTask) and action segmentation (COIN).  ...  We compare to a randomly initialized I3D and one inflated from an Inception network pretrained on Ima-geNet [14] .  ... 
arXiv:1912.06430v4 fatcat:6dm5pbrwlze6bgp5cuxjtitmku

Learning Fast and Robust Target Models for Video Object Segmentation [article]

Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2020 arXiv   pre-print
Our method is fast, easily trainable and remains highly effective in cases of limited training data. We perform extensive experiments on the challenging YouTube-VOS and DAVIS datasets.  ...  Video object segmentation (VOS) is a highly challenging problem since the initial mask, defining the target object, is only given at test-time.  ...  By using an early and a late frame from each video sequence, we study how the methods cope with large target deformations over time.  ... 
arXiv:2003.00908v2 fatcat:gc57zon4ajdv5fqdxcmsnhg6by

The Entropy of Attention and Popularity in YouTube Videos [article]

Jonathan Scott Morgan, Iman Barjasteh, Cliff Lampe, Hayder Radha
2014 arXiv   pre-print
The vast majority of YouTube videos never become popular, languishing in obscurity with few views, no likes, and no comments.  ...  We use information theoretical measures based on entropy to examine how time series distributions of common measures of popularity in videos from YouTube's "Trending videos" and "Most recent" video feeds  ...  Attention and YouTube A study of the effects of geography and localization of content on video popularity showed that despite YouTube being a global site, the popularity of YouTube videos is constrained  ... 
arXiv:1412.1185v1 fatcat:4frnne6xzrccdbtt2sjovmzgsy

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching [article]

Fatemeh Azimi and Stanislav Frolov and Federico Raue and Joern Hees and Andreas Dengel
2020 arXiv   pre-print
One-shot Video Object Segmentation~(VOS) is the task of pixel-wise tracking an object of interest within a video sequence, where the segmentation mask of the first frame is given at inference time.  ...  In this work, we study an RNN-based architecture and address some of these issues by proposing a hybrid sequence-to-sequence architecture named HS2S, utilizing a dual mask propagation strategy that allows  ...  They start with the pre-trained weights on Ima-geNet [8] , and then further train the parent network on a specialized VOS dataset [29] .  ... 
arXiv:2010.05069v2 fatcat:grt5p6qhqndq5bbacnd7bwsnl4
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