The Right Interaction at the Right Time – How to enable a more personal and more relevant (ad) streaming experience

By scrutinizing each video scene, AI Scene Analysis generates rich metadata that unlocks a deeper understanding of the video’s content. Being able to categorize a scene by identifying objects, people, or even emotions not only enables content categorization, e.g., for later usage or archiving, but also allows applications to interact with viewers in a more tailored fashion or gain relevant insights about user behavior related to video context. Up until now, extracting and categorizing metadata from media content has been an expensive and time-consuming manual effort. Leveraging machine learning enables us to speed up the analysis significantly and extract more features more accurately. When leveraged in conjunction with Bitmovin’s Contextual Advertising solution, extracted metadata is designed to enhance ad revenue. By enabling a higher degree of personalization, advertisers can deliver more relevant ads to viewers, thereby increasing user engagement and boosting overall ad effectiveness. AI Scene Analysis and Contextual Advertising solutions represent a significant advancement in video content analysis and ad placement, offering content providers and advertisers a powerful tool to unlock the full potential of their video content. By leveraging the power of machine learning platforms like Amazon Bedrock, our technology enables a more sophisticated and effective approach to video advertising, delivering benefits to all stakeholders in the digital advertising ecosystem.