{"id":346757,"date":"2017-01-05T08:56:53","date_gmt":"2017-01-05T16:56:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=346757"},"modified":"2020-03-26T11:34:00","modified_gmt":"2020-03-26T18:34:00","slug":"framework-multimodal-data-collection-visualization-annotation-learning","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/framework-multimodal-data-collection-visualization-annotation-learning\/","title":{"rendered":"A Framework for Multimodal Data Collection, Visualization, Annotation and Learning"},"content":{"rendered":"
The development and iterative refinement of inference models for multimodal systems can be challenging and time intensive. We present a framework for multimodal data collection, visualization, annotation, and learning that enables system developers to build models using various machine learning techniques, and quickly iterate through cycles of development, deployment and refinement.<\/p>\n","protected":false},"excerpt":{"rendered":"
The development and iterative refinement of inference models for multimodal systems can be challenging and time intensive. We present a framework for multimodal data collection, visualization, annotation, and learning that enables system developers to build models using various machine learning techniques, and quickly iterate through cycles of development, deployment and refinement.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13560],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-346757","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-programming-languages-software-engineering","msr-locale-en_us"],"msr_publishername":"ACM Press","msr_edition":"","msr_affiliation":"","msr_published_date":"2013-12-9","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"http:\/\/dl.acm.org\/citation.cfm?id=2531751","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"http:\/\/dl.acm.org\/citation.cfm?id=2531751","label_id":"243109","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"10.1145\/2522848.2531751","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/dl.acm.org\/citation.cfm?id=2531751"}],"msr-author-ordering":[{"type":"user_nicename","value":"Anne Loomis Thompson","user_id":31041,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Anne Loomis Thompson"},{"type":"user_nicename","value":"Dan Bohus","user_id":31581,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Dan Bohus"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144633],"msr_project":[390800],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":390800,"post_title":"Situated Interaction","post_name":"situated-interaction","post_type":"msr-project","post_date":"2017-07-07 12:00:28","post_modified":"2021-04-06 15:07:38","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/situated-interaction\/","post_excerpt":"The situated interaction research effort aims to enable computers to reason more deeply about their surroundings, and engage in fluid interaction with humans in physically situated settings. When people interact with each other, they engage in a rich, highly coordinated, mixed-initiative process, regulated through both verbal and non-verbal channels. In contrast, while their perceptual abilities are improving, computers are still unaware of their physical surroundings and of the \u201cphysics\u201d of human interaction. 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