{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/vdms-efficient-big-visual-data-access-for","title":"VDMS: Efficient Big-Visual-Data Access for Machine Learning Workloads","arxiv_id":"1810.11832","date":"2018-10-28","proceeding":null,"authors":["Luis Remis","Vishakha Gupta-Cledat","Christina Strong","Ragaad Altarawneh"],"abstract":"We introduce the Visual Data Management System (VDMS), which enables faster\naccess to big-visual-data and adds support to visual analytics. This is\nachieved by searching for relevant visual data via metadata stored as a graph,\nand enabling faster access to visual data through new machine-friendly storage\nformats. VDMS differs from existing large scale photo serving, video streaming,\nand textual big-data management systems due to its primary focus on supporting\nmachine learning and data analytics pipelines that use visual data (images,\nvideos, and feature vectors), treating these as first class entities. We\ndescribe how to use VDMS via its user friendly interface and how it enables\nrich and efficient vision analytics through a machine learning pipeline for\nprocessing medical images. We show the improved performance of 2x in complex\nqueries over a comparable set-up.","url_abs":"http://arxiv.org/abs/1810.11832v3","url_pdf":"http://arxiv.org/pdf/1810.11832v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"vdms-efficient-big-visual-data-access-for","repo_url":"https://github.com/IntelLabs/vdms","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"management","task_name":"Management"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}