{"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/vis-dss-an-open-source-toolkit-for-visual","title":"Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization","arxiv_id":"1809.08846","date":"2018-09-24","proceeding":null,"authors":["Rishabh Iyer","Pratik Dubal","Kunal Dargan","Suraj Kothawade","Rohan Mahadev","Vishal Kaushal"],"abstract":"With increasing amounts of visual data being created in the form of videos\nand images, visual data selection and summarization are becoming ever\nincreasing problems. We present Vis-DSS, an open-source toolkit for Visual Data\nSelection and Summarization. Vis-DSS implements a framework of models for\nsummarization and data subset selection using submodular functions, which are\nbecoming increasingly popular today for these problems. We present several\nclasses of models, capturing notions of diversity, coverage, representation and\nimportance, along with optimization/inference and learning algorithms. Vis-DSS\nis the first open source toolkit for several Data selection and summarization\ntasks including Image Collection Summarization, Video Summarization, Training\nData selection for Classification and Diversified Active Learning. We\ndemonstrate state-of-the art performance on all these tasks, and also show how\nwe can scale to large problems. Vis-DSS allows easy integration for\napplications to be built on it, also can serve as a general skeleton that can\nbe extended to several use cases, including video and image sharing platforms\nfor creating GIFs, image montage creation, or as a component to surveillance\nsystems and we demonstrate this by providing a graphical user-interface (GUI)\ndesktop app built over Qt framework. Vis-DSS is available at\nhttps://github.com/rishabhk108/vis-dss","url_abs":"http://arxiv.org/abs/1809.08846v1","url_pdf":"http://arxiv.org/pdf/1809.08846v1.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":"vis-dss-an-open-source-toolkit-for-visual","repo_url":"https://github.com/Pratik08/vis-dss","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"active-learning","task_name":"Active Learning"},{"task_slug":"video-summarization","task_name":"Video Summarization"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}