MAAM: Media Asset Annotation and Management

ICMR '23: Proceedings of the 2023 ACM International Conference on Multimedia Retrieval(2023)

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Artificial intelligence can facilitate the management of large amounts of media content and enable media organisations to extract valuable insights from their data. Although AI for media understanding has made rapid progress over the recent years, its deployment in applications and professional sectors poses challenges, especially to organizations with no AI expertise. This motivated the creation of the Media Asset Annotation and Management platform (MAAM) that employs state-of-the-art deep learning models to annotate and facilitate the management of image and video assets. Annotation models provided by MAAM include automatic captioning, object detection, action recognition and moderation models, such as NSFW and disturbing content classifiers. By annotating media assets with these models, MAAM can support easy navigation, filtering and retrieval of media assets. In addition, our platform leverages the power of deep learning to support advanced visual and multi-modal retrieval capabilities. That allows accurately identifying assets that convey a similar idea, or concept even if they are not visually identical, and support a state-of-the-art reverse search facility for images and videos.
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