Information-based thinking“Written by members of the media community and contains new ideas about the digital revolution in the media. Today’s column is written by John Bern, Head of Production at 7th minute.

Assume that you are a brand and that you have the ability to understand the real moments on TV that affect your brand (both positive and negative) and the context in which they occur. Then think about whether you can track this automatically and automatically with a related ad. The creation of digital advertising, presented by the Omni Channel campaign, reflecting the ongoing discussion, or the product or logo being displayed, is then on live TV and is therefore more likely to be seen by a well-known audience and therefore more likely to be. Take action.

Context is a standard topic in advertising that the viewer receives from the message in question within a frame of mind. The need is further strengthened by the context of a recent integrated science science study Increase ad memory by up to 40%.

And as the advertising ecosystem faces the reality of third-party cookie mortality, the debate over the context becomes even more serious and urgent. Broadcast data analysis provides an in-depth understanding of the above, and provides the potential for context-driven effective but privacy-driven strategies.

Automatic Content Detection (ACR) and Optical Character Recognition (OCR)

Under the Computer Vision banner, the Automatic Content Detection (ACR) and Optical Character Recognition (OCR) subdivisions play important roles.

ACR is an identification technology that identifies and identifies media content played on a device or stored in a file. It is widely used on CTV to watch content that people watch on their smart TV or connected device.

These context-based strategies can be found in computer vision, artificial intelligence (AI) discipline, which allows computers to gain a deeper understanding of visual inputs such as digital images and videos. In fact, it allows computers to “see” in a way that allows other AI branches to “think”. In a world that relies heavily on images, the most important computer interface is increasingly being used in applications such as advertising analytics to ensure that they are working as efficiently as possible.

OCR, a feature of many years of business life, is the conversion of text images (handwritten, handwritten, printed, etc.) into machine-converted or digital edited, stored, and searched text.

Why does this apply to advertisers?

Computer View has the unparalleled ability to capture and analyze digital images, video and audio content in real-time and unlimited amount of time, combining it with AI and machine learning (ML).

When used together, ACR and OCR can transform distribution content – from both programs and business breaks – into compiled, contextual, and organized data. It can then analyze and ask for insights to inform when and where the announcement and the message that is most important to that moment.

This technology is not the only domain for large brand advertisers and agencies; Thanks to Cloud computing and “as a service” offerings, it has become increasingly accessible.

Using visual-oriented data

Brands now have the tools to create smart contextual ads based on TV content. Traditionally, the channel’s large budgets are not a prerequisite for launching TV-related campaigns for a wide variety of previously excluded players.

“Momentary marketing”, for example, is described in the introduction as a computer-based and automated advertising process that involves placing the appropriate ad in front of the right audience when you can engage with the title or brand. Because of what is currently on TV.

When TV viewers respond to people eating pizza in a movie, for example, fast food delivery can promote itself. For a healthy, low-alcohol brand, the UK may want to use “Be moderate for October” as well as TV news and features highlighting the internationally acclaimed “January.”

Live TV shows also offer great opportunities to be a part of the season, from sports – from the Olympics to the Super Bowl – as a unique option. Automatic pre-designed digital ads that support a group or individual may appear on the second screen at the most appropriate time. Advertisements can indicate the idea of ​​winning or losing by purchasing that brand, for example, holidays – or commissions.

In reality, instant marketing involves branding when the recipient responds to the desired activity – without the need for an expensive “always” advertising strategy.

Brands can also use historical data to understand the TV content of their online offerings in relation to their offerings. Then watch live TV shows live and the echoing theme is ready to air again. Similarly, knowing that competitors on TV (both for programming and advertising) will drive traffic to their own websites can result in significant data planning.

Widespread media strategies

Computer vision creates unimaginable TV-connected information; This awareness opens up new opportunities for advertisers, engaging TV engagement with digital and social media and the popularity of secondary screening.

And innovation (the ads themselves, but how to have a better conversation) weighs more than budgets, allowing small brands that have never previously met the TV agenda to expand their media strategy.

It is at the heart of this false context, and bringing all these benefits together is an important task for any advertiser.

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