Generating and enhancing digital video components

A system comprising:

• one or more processors configured to:
• receive a video component;
• evaluate, using a multimodal video component evaluation tool, the received video component relative to audio and video metrics, the evaluation comparing attributes within the video component to the audio and video metrics to determine whether each of the audio and video metrics are met by the received video component, wherein the multimodal video component evaluation tool comprises a product/brand engine configured to:
• receive as input, pixel information corresponding to individual video frames of the received video component, and
• process, using a pixel-level image models, the pixel information by matching objects identified in the individual video frames to a taxonomy of brands and/or products to identify brands and/or products within the video component;
• generate, based on the evaluation, a result indicating that one or more of the audio and video metrics are not met, wherein the result comprises an indication that the product/brand engine did not detect a particular brand and/or product;
• generate, by a generative artificial intelligence (AI) model, content representing the particular brand and/or product based on the result;
• integrate, by the generative AI model, the generated content representing the particular brand and/or product into the video component;
• and
• output the video component including the particular brand and/or product.

A non-transitory computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• receive a video component;
• evaluate, using a multimodal video component evaluation tool, the received video component relative to audio and video metrics, the evaluation comparing attributes within the video component to the audio and video metrics to determine whether each of the audio and video metrics are met by the received video component, wherein the multimodal video component evaluation tool comprises a product/brand engine configured to:
• receive as input, pixel information corresponding to individual video frames of the received video component, and
• process, using a pixel-level image models, the pixel information by matching objects identified in the individual video frames to a taxonomy of brands and/or products to identify brands and/or products within the video component;
• generate, based on the evaluation, a result indicating that one or more of the audio and video metrics are not met, wherein the result comprises an indication that the product/brand engine did not detect a particular brand and/or product;
• generate, by a generative artificial intelligence (AI) model, content representing the particular brand and/or product based on the result;
• add, by the generative AI model, the generated content representing the particular brand and/or product to the video component;
• and
• output the video component including the particular brand and/or product.