Cross media analysis and reasoning: advances and directions
Cross media analysis and reasoning is an active research area in computer science, and a promising direction for artificial intelligence. However, to the best of our knowledge, no existing work has summarized the state of the art methods for cross media analysis and reasoning or presented advances, challenges, and future directions for the field. To address these issues, we provide an overview as follows: (1) theory and model for cross media uniform representation; (2) cross media correlation understanding and deep mining; (3) cross media knowledge graph construction and learning methodologies; (4) cross media knowledge evolution and reasoning; (5) cross media description and generation; (6) cross media intelligent engines; and (7) cross media intelligent applications. By presenting approaches, advances, and future directions in cross media analysis and reasoning, our goal is not only to draw more attention to the state of the art advances in the field, but also to provide technical insights by discussing the challenges and research directions in these areas.
Frontiers of Information Technology Electronic Engineering