报 告 人：王智 助理教授
主 持 人：崔来中 博士
日 期：2015年12月 8 日
时 间：早上 10：30
地 点：计软学院938会议室
ABSTRACT
The Internet has recently witnessed the convergence of online social network services and online video services: users import videos from content sharing sites, and propagate them along the social connections by re-sharing them. Such social behaviors have dramatically reshaped how videos are disseminated, and the users are now actively engaged to be part of the social ecosystem, rather than being passively consumers. Despite the increasingly abundant bandwidth and computation resources, the ever increasing data volume of user generated video content and the boundless coverage of socialized sharing have presented unprecedented challenges. In this talk, we will share our recent studies to tackle these challenges. We will first present a principal framework for data-driven social video delivery approaches. Then, we identify the unique characteristics of social-aware video access and the social content propagation, and closely reveal the design of individual modules and their integration towards enhancing users' experience in the social network context.
BIOGRAPHY
Zhi Wang is an assistant professor in Graduate School at Shenzhen, Tsinghua University. His current research areas include mobile cloud/cloudlet computing, large-scale multimedia systems and online social networks, where he uses the tools including measurement, modeling and implementation, to shed insights on strategy design, performance analysis and system optimization. He is a recipient of the China Computer Federation (CCF) Outstanding Doctoral Dissertation Award (2014), ACM Multimedia Best Paper Award (2012), and MMM Best Student Paper Award (2015).
Title: Social Video Content Distribution: A Data-driven Approach
Reporter: Research Assistant Zhi Wang
Host : Prof. Laizhong Cui
Date: December 8, 2015
Time: 10:30am
Address: 623 Meeting room of College of Computer Science & Software Engineering, South
ABSTRACT
The Internet has recently witnessed the convergence of online social network services and online video services: users import videos from content sharing sites, and propagate them along the social connections by re-sharing them. Such social behaviors have dramatically reshaped how videos are disseminated, and the users are now actively engaged to be part of the social ecosystem, rather than being passively consumers. Despite the increasingly abundant bandwidth and computation resources, the ever increasing data volume of user generated video content and the boundless coverage of socialized sharing have presented unprecedented challenges. In this talk, we will share our recent studies to tackle these challenges. We will first present a principal framework for data-driven social video delivery approaches. Then, we identify the unique characteristics of social-aware video access and the social content propagation, and closely reveal the design of individual modules and their integration towards enhancing users' experience in the social network context.
BIOGRAPHY
Zhi Wang is an assistant professor in Graduate School at Shenzhen, Tsinghua University. His current research areas include mobile cloud/cloudlet computing, large-scale multimedia systems and online social networks, where he uses the tools including measurement, modeling and implementation, to shed insights on strategy design, performance analysis and system optimization. He is a recipient of the China Computer Federation (CCF) Outstanding Doctoral Dissertation Award (2014), ACM Multimedia Best Paper Award (2012), and MMM Best Student Paper Award (2015).
