Framework for 2D Ad placements in LinearTV
This addresses the need for efficient, non-intrusive advertising in the billion-dollar virtual product placement industry, though it is incremental as it automates existing tasks for a specific domain.
The paper tackles the problem of manually placing 2D ads in linear TV cooking shows by developing a fully automated framework that identifies empty spaces, handles occlusions, and tracks ads, achieving automation in a domain previously reliant on manual or semi-automated methods.
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 understanding (iii) occlusion handling (iv) ambient lighting and (v) ad tracking.