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A multimodal interface provides several distinct tools for input and output of data. Multimodal human-computer interaction involves natural communication with virtual and physical environments. It facilitates free and natural communication between users and automated systems, allowing flexible input (speech, handwriting, gestures) and output ...
Multimodal Architecture and Interfaces is an open standard developed by the World Wide Web Consortium since 2005. It was published as a Recommendation of the W3C on October 25, 2012. The document is a technical report specifying a multimodal system architecture and its generic interfaces to facilitate integration and multimodal interaction ...
Multimodal Architecture and Interfaces; Multimodal browser; Multimodal learning; Multimodal search; Multimodal sentiment analysis; Mundaneum; N. New Interfaces for ...
In the context of human–computer interaction, a modality is the classification of a single independent channel of input/output between a computer and a human. Such channels may differ based on sensory nature (e.g., visual vs. auditory), [1] or other significant differences in processing (e.g., text vs. image). [2]
Multimodal learning, machine learning methods using multiple input modalities; Multimodal transport, a contract for delivery involving the use of multiple modes of goods transport; Multimodality, the use of several modes (media) in a single artifact; Multimodal logic modal logic that has more than one primitive modal operator
The model is an interface defining the data to be displayed or otherwise acted upon in the user interface. The view is a passive interface that displays data (the model) and routes user commands to the presenter to act upon that data. The presenter acts upon the model and the view. It retrieves data from repositories (the model), and formats it ...
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images, or video.This integration allows for a more holistic understanding of complex data, improving model performance in tasks like visual question answering, cross-modal retrieval, [1] text-to-image generation, [2] aesthetic ranking, [3] and ...
Some of the more simple engines are Google Images or Bing, web interfaces that use text and images as inputs to find images in the output. MMRetrieval is a multimodal experimental search engine that uses multilingual and multimedia information through a web interface. The engine searches the different inputs in parallel and merges all the ...