| Sumario: | It is our great pleasure to welcome you to the ACM International Conference on Multimedia Retrieval - WCRML'19. Learning from data in different modalities has been a popular research topic in both academia and industry. Utilizing information cross-modalities is particularly important in scenarios where multi-modal data is easy to obtain but only few of the modalities are richly annotated. In contrast to multimodal learning that mainly focuses on information fusion from multiple modalities, cross-modal learning involves semantic interactions between different modalities and has been shown to create interesting applications such as image captioning and visually indicated sounds.This workshop is of interest to audiences from both academia and industry. For academic attendees, the targeted audience includes researchers who develop models and systems interacting with heterogeneous data and who would like to see how their models and systems can be applied in industry scenarios. For students who will be applying for jobs after graduation, this workshop will show them possible research challenges that are relevant to industry. In recent years, an increasing number of industry researchers have also been joining top artificial intelligence and machine learning conferences. This workshop creates opportunities for them to exchange their experiences from different business areas, and learn from the latest advances in academia.
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