White paper

Images don’t just capture moments. They also arouse emotion and influence purchasing decisions. Buying a product from an online shop without being able to view an image that goes with it is unthinkable today. The daily use of smartphones and social media platforms promotes communication via images. Photos and videos have long been the new, universal language. This means that there are enormous amounts of visual data (e.g. about products, trends, people and situations) that pose the challenge of (again) finding created images and making them usable. It is not just about efficiently archiving and storing image or video material, but also about finding and linking relevant media more quickly, for example with related information from product information systems (PIM). This is precisely where artificial intelligence provides support. It automatically recognises content. Images are then automatically tagged based on this recognition. The traditional way of tagging in media management soon became obsolete due to the huge amounts of data. The automatic generation of metadata will soon be the only way to be in control of data.

We have created a white paper to give you an overview of the different metadata standards and the variety of solutions and possible combinations of technologies for image recognition (semi-automatic tagging, computer vision, pre-built or custom models). This should provide you with fast and comprehensible help in getting to know and evaluate the different concepts. Particularly when it comes to finding out which concepts best fit one’s needs, which internal roles need to be defined, and what significance the use of image data will have for the company in the future.