use case: Contextual Tagging

How can I design adver­tising strategies based on media content?

The challenge

Placing adver­tising that is true to the content

At best, adver­tising should reach viewers when they are engaged with a particular topic. Intel­li­gently aligned brand commu­ni­cation aims to reach potential buyers at the right time with an appro­priate message. This is no different from cost-intensive adver­tising banners on television. It is therefore important to determine at which point an adver­tising message can be used most effec­tively. Individ­u­al­ization based on aired actions is an innov­ative way to optimize the playout timing of adver­tising media.

How can DeepVA help me place adver­tising when it fits themat­i­cally with the scene’s content played out on TV?

DeepVA Contextual Tagging Werbung

the solution

Deep Media Analyzer

With the Deep Media Analyzer, you can use AI to capture the content shown in the respective broadcast scenes. With the help of Speech-To-Text, the spoken words of the protag­o­nists can be converted into text files or packages and thus the subject can be analyzed. Relevant keywords such as “fresh”, “fruit” or “salad” are of particular relevance. Based on these keywords, a suitable adver­tising medium can now be simply selected. This is supported by the Deep Media Analyzer recog­nition functions such as Object, Face, and Landmark Recog­nition. They offer a compre­hensive analysis of the scene shown and combined with speech recog­nition, can capture the content displayed quickly.

What results can be obtained?

Content-based ad placement through spoken word recog­nition

Contextual scene recog­nition through Recog­nition Services

Themat­i­cally targeted commu­ni­cation

0 %

faster data acqui­sition

0 %

COST REDUCTION

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faster labelling

Equality and diversity insights

Function overview

Speech-to-text

Often the spoken word alone is not enough: transcription is needed. Our Speech to Text function automates this process.

Face recog­nition

Face Recog­nition detects and identifies the faces of public figures in a variety of categories such as politics, sports, business, and enter­tainment.

Visual concepts recog­nition

Object and scene recog­nition detects and labels various objects and scenes, from general to more specific ones.

Landmark recog­nition

Landmark Recog­nition identifies all important sights, archi­tec­tural struc­tures and natural monuments across Europe. Easily archive and retrieve visual material showing places of interest for content creation.

Fabian Linder

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