Collaborative filtering with facial expressions for online video recommendation

2016 ◽  
Vol 36 (3) ◽  
pp. 397-402 ◽  
Author(s):  
Il Young Choi ◽  
Myung Geun Oh ◽  
Jae Kyeong Kim ◽  
Young U. Ryu
Keyword(s):  
Collaborative Filtering ◽  
Facial Expressions ◽  
Online Video ◽  
Video Recommendation

Heritage

2018 ◽  
Author(s):  
Omar Shaikh ◽  
Stefano Bonino
Keyword(s):  
Facial Expressions ◽  
South Asian ◽  
Online Video ◽  
The South ◽  
Men And Women ◽  
The Public ◽  
Video Footage ◽  
Community Heritage ◽  
Personal Accounts ◽  
The Way

The Colourful Heritage Project (CHP) is the first community heritage focused charitable initiative in Scotland aiming to preserve and to celebrate the contributions of early South Asian and Muslim migrants to Scotland. It has successfully collated a considerable number of oral stories to create an online video archive, providing first-hand accounts of the personal journeys and emotions of the arrival of the earliest generation of these migrants in Scotland and highlighting the inspiring lessons that can be learnt from them. The CHP’s aims are first to capture these stories, second to celebrate the community’s achievements, and third to inspire present and future South Asian, Muslim and Scottish generations. It is a community-led charitable project that has been actively documenting a collection of inspirational stories and personal accounts, uniquely told by the protagonists themselves, describing at first hand their stories and adventures. These range all the way from the time of partition itself to resettling in Pakistan, and then to their final accounts of arriving in Scotland. The video footage enables the public to see their facial expressions, feel their emotions and hear their voices, creating poignant memories of these great men and women, and helping to gain a better understanding of the South Asian and Muslim community’s earliest days in Scotland.

Online Video Recommendation in Sharing Community

2015 ◽  
Author(s):  
Xiangmin Zhou ◽  
Lei Chen ◽  
Yanchun Zhang ◽  
Longbing Cao ◽  
Guangyan Huang ◽  
...  
Keyword(s):  
Online Video ◽  
Video Recommendation

scholarly journals THE ALGORITHM PLAYGROUND: A CONTENT ANALYSIS OF USER-PRODUCED CHILDREN’S VIDEOS ON YOUTUBE

2021 ◽  
Author(s):  
Kalia Vogelman-Natan
Keyword(s):  
Content Analysis ◽  
Pretend Play ◽  
Online Video ◽  
Video Content ◽  
Recommendation Algorithm ◽  
Mobile Media ◽  
Future Studies ◽  
Research Questions ◽  
Device Use ◽  
Video Recommendation

With early-childhood mobile media device use on the rise, online video content plays an ever-increasing role in children’s lives. Of the wide variety of content available to children, user-produced videos on YouTube seem to be most popular. However, due to the platform’s size and the overwhelming number of child-targeted videos found on YouTube, scholars have been struggling with how to approach and study this topic. This study aims to address the gap in research by analyzing prevalent user-produced children’s videos on YouTube, with research questions focusing on video genres, their features, and content themes. Drawing on YouTube’s popularity-measurements and video recommendation algorithm, a corpus of 100 user-produced videos targeted to children was assembled. A content analysis of these videos led to the identification and conceptualization of 13 distinct genres of user-produced children’s videos: unboxing, surprise eggs, finger family, play-doh, nursery rhymes, kids songs, learning, pretend play (enactment), pretend play (toys), storytelling, arts & crafts, entertainer in character, and process repetition. Furthermore, the findings indicate that there are often unique interplays between genre type and the content, the production format, and the overall quality and educational rating. In addition to shedding light on the importance of studying child-targeted content on YouTube, this study’s main contribution is a typological map of the user-produced children’s video ecosystem that future studies from various fields can draw on.

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