Deep Live Video Ad Placement on the 5G Edge
Mohammad Hosseini

TL;DR
This paper presents a deep edge-cloud system for personalized ad placement in live and VoD streaming over 5G, aiming to enhance targeted advertising and revenue in mobile networks.
Contribution
It introduces a novel deep edge-cloud architecture for targeted ad placement on 5G MEC platforms for live and VoD content.
Findings
Proposed system enables personalized advertising over 5G edge computing.
Architecture supports targeted ads in live and VoD streaming.
Potential to increase ad revenues for mobile operators.
Abstract
The video broadcasting industry has been growing significantly in the recent years, specially on delivering personalized contents to the end users. While video broadcasting has continued to grow beyond TV, video adverting has become a key marketing tool to deliver targeted messages directly to the audience. However, unfortunately for broadband TV, a key problem is that the TV commercials target the broad audience, therefore lacking user-specific and personalized ad contents. In this paper, we propose a deep edge-cloud ad-placement system, and briefly describe our methodologies and the architecture of our designed ad placement system for delivering both the Video on Demand (VoD) and live broadcast TV contents over MMT streaming protocol. The aim of our paper is to showcase how to enable targeted, personalized, and user-specific advertising services deployed on the future 5G MEC…
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Taxonomy
TopicsMultimedia Communication and Technology · Image and Video Quality Assessment · Telecommunications and Broadcasting Technologies
