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2017, Volume 18, Issue 1

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Frontiers of Information Technology & Electronic Engineering >> 2017, Volume 18, Issue 1 doi: 10.1631/FITEE.1601787

Cross-media analysis and reasoning: advances and directions

. Institute of Computer Science and Technology, Peking University, Beijing 100871, China.. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.. Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China.. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China

Available online: 2017-02-27
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Abstract

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 rea-soning, 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.

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