Abstract: A system and method to dynamically analyze digital media and select multimedia assets or items to render with correlated IP-connected media and apps. Hierarchical Taxonomy, Engagement-based and Neural-based asset matching is rendered with rule-based and Diminishing Perspective decision-making. A user can listen, view and interact with the correlated and rendered material using an input device native to the computing device being used to access the IP-connected media. Embodiments extract features from the digital media. The extracted features are semantically analyzed for an understanding of characteristics associated with the respective features. Topics are extracted from the digital media based on the characteristics. Stored assets are correlated to the extracted topics to select an asset based on characteristics of the extracted topics correlating with the selected asset. The selected asset is rendered with the digital media.

Abstract: A system and method to dynamically analyze digital media and select multimedia assets or items to render with correlated IP-connected media and apps. Hierarchical Taxonomy, Engagement-based and Neural-based asset matching is rendered with rule-based and Diminishing Perspective decision-making. A user can listen, view and interact with the correlated and rendered material using an input device native to the computing device being used to access the IP-connected media. Embodiments extract features from the digital media. The extracted features are semantically analyzed for an understanding of characteristics associated with the respective features. Topics are extracted from the digital media based on the characteristics. Stored assets are correlated to the extracted topics to select an asset based on characteristics of the extracted topics correlating with the selected asset. The selected asset is rendered with the digital media.

Abstract: A system and method to dynamically analyze digital media and select multimedia assets or items to render with correlated IP-connected media and apps. Hierarchical Taxonomy, Engagement-based and Neural-based asset matching is rendered with rule-based and Diminishing Perspective decision-making. A user can listen, view and interact with the correlated and rendered material using an input device native to the computing device being used to access the IP-connected media. Embodiments extract features from the digital media. The extracted features are semantically analyzed for an understanding of characteristics associated with the respective features. Topics are extracted from the digital media based on the characteristics. Stored assets are correlated to the extracted topics to select an asset based on characteristics of the extracted topics correlating with the selected asset. The selected asset is rendered with the digital media.

Abstract: A system and method to integrate, prioritize, and distribute multimedia assets into Internet Protocol (IP) media in real time. Embodiments include dynamic media integration based on permissible content elements/locations and app events, asset formatting based on user exposure and key performance indicators and contextual relevancy. Consumer engagement is enhanced through gesture-based interaction on the native device of the user and intelligent routing from the device of the user when performing for example a quick response (QR) or embedded code scan, which is prioritized based on user geo and other criteria and landing page and other performance parameters. The most suitable assets are dynamically selected, integrated and distributed into the content environment.