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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.

Interactive multimedia --- Multimodal user interfaces (Computer systems)

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Vision-and-Language (VL) is a popular research area that sits at the nexus of Computer Vision and Natural Language Processing (NLP). This monograph surveys vision-language pre-training (VLP) methods for multimodal intelligence that have been developed in the last few years.

Multimodal user interfaces (Computer systems) --- Computer vision

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Multimodal user interfaces (Computer systems) --- Educational technology --- Computer-assisted instruction

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The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces-user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces. This three-volume handbook is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This third volume focuses on state-of-the-art multimodal language and dialogue processing, including semantic integration of modalities. The development of increasingly expressive embodied agents and robots has become an active test-bed for coordinating multimodal dialogue input and output, including processing of language and nonverbal communication. In addition, major application areas are featured for commercializing multimodal-multisensor systems, including automotive, robotic, manufacturing, machine translation, banking, communications, and others.

Multimodal user interfaces (Computer systems) --- Human-computer interaction.

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Multimodal user interfaces (Computer systems) --- Interactive multimedia --- Social aspects