Optimizing for video storage networking

"Optimizing for Video Storage Networking With Recommender Systems"


Driven mainly by its adoption as a new media distribution platform for content providers and its ubiquitous availability for the end user’s media production and consumption, the Internet is rapidly reshaping. In particular, the stakeholders in the content distribution market are considering exploiting content delivery networks (CDNs) to play a key enabling role allowing them  to become part of related value chains. In this paper we discuss how such CDNs rely on autonomous algorithms to optimally use the storage resources, i.e., reducing bandwidth on feeder links, while providing quality of experience (QoE) to the end user.

get the paper here.

Video delivery using network aware transcoding in an LTE network

"Mobile Video Delivery Using Network Aware Transcoding in an LTE Network"


Delivering video over mobile wireless networks presents several unique challenges. Limited bandwidth and packet delay variation can cause artifacts, “picture freezes,” or blockages that make a video experience on a mobile client unacceptable. In this paper we address techniques to use feedback from the wireless network (congestion, channel conditions, content, user profiles) to adjust both the video stream and the delivery mechanism to dramatically increase the level of service and experience.

get the paper here.

Subjective video quality assessment

"Subjective Video Quality Assessment of HTTP Adaptive Streaming Technologies"



HTTP adaptive steaming (HAS) is becoming ubiquitous as a reliable method of delivering video content over the open Internet to a variety of devices from personal computers (PCs), to tablets, game consoles, and smartphones. HAS is able to adapt to both the available bandwidth and the display requirements
by trading-off video quality.


get the paper here.