Multimedia Intelligence: When Multimedia Meets Artificial Intelligence
| Autor: | Wen Gao, Xin Wang, Wenwu Zhu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Multimedia
Multimedia search Computer science business.industry Deep learning Video content analysis 02 engineering and technology computer.software_genre Computer Science Applications Data modeling Paradigm shift Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Artificial intelligence Electrical and Electronic Engineering business computer Discipline |
| Zdroj: | IEEE Transactions on Multimedia. 22:1823-1835 |
| ISSN: | 1941-0077 1520-9210 |
| DOI: | 10.1109/tmm.2020.2969791 |
| Popis: | Owing to the rich emerging multimedia applications and services in the past decade, super large amount of multimedia data has been produced for the purpose of advanced research in multimedia. Furthermore, multimedia research has made great progress on image/video content analysis, multimedia search and recommendation, multimedia streaming, multimedia content delivery etc. At the same time, Artificial Intelligence (AI) has undergone a “new” wave of development since being officially regarded as an academic discipline in 1950s, which should give credits to the extreme success of deep learning. Thus, one question naturally arises: What happens when multimedia meets Artificial Intelligence? To answer this question, we introduce the concept of Multimedia Intelligence through investigating the mutual-influence between multimedia and Artificial Intelligence. We explore the mutual influences between multimedia and Artificial Intelligence from two aspects: i) multimedia drives Artificial Intelligence to experience a paradigm shift towards more explainability and ii) Artificial Intelligence in turn injects new ways of thinking for multimedia research. As such, these two aspects form a loop in which multimedia and Artificial Intelligence interactively enhance each other. In this paper, we discuss what and how efforts have been done in literature and share our insights on research directions that deserve further study to produce potentially profound impact on multimedia intelligence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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