Framework for 2D Ad placements in LinearTV
Divya Bhargavi, Karan Sindwani, Sia Gholami

TL;DR
This paper presents an automated framework for digitally inserting 2D advertisements into linear TV cooking shows, addressing scene understanding, occlusion, lighting, and ad tracking without manual intervention.
Contribution
It introduces a fully automated method for 2D ad placement in linear TV content using single-view footage, overcoming manual and semi-automated limitations.
Findings
Successfully identifies placement areas in scenes
Handles occlusion and lighting variations
Tracks ads throughout the video
Abstract
Virtual Product placement(VPP) is the advertising technique of digitally placing a branded object into the scene of a movie or TV show. This type of advertising provides the ability for brands to reach consumers without interrupting the viewing experience with a commercial break, as the products are seen in the background or as props. Despite this being a billion-dollar industry, ad rendering technique is currently executed at post production stage, manually either with the help of VFx artists or through semi-automated solutions. In this paper, we demonstrate a fully automated framework to digitally place 2-D ads in linear TV cooking shows captured using single-view camera with small camera movements. Without access to full video or production camera configuration, this framework performs the following tasks (i) identifying empty space for 2-D ad placement (ii) kitchen scene…
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Taxonomy
TopicsAdvanced Vision and Imaging · 3D Surveying and Cultural Heritage · Augmented Reality Applications
