{"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/diversity-aware-multi-video-summarization","title":"Diversity-aware Multi-Video Summarization","arxiv_id":"1706.03123","date":"2017-06-09","proceeding":null,"authors":["Rameswar Panda","Niluthpol Chowdhury Mithun","Amit K. Roy-Chowdhury"],"abstract":"Most video summarization approaches have focused on extracting a summary from\na single video; we propose an unsupervised framework for summarizing a\ncollection of videos. We observe that each video in the collection may contain\nsome information that other videos do not have, and thus exploring the\nunderlying complementarity could be beneficial in creating a diverse\ninformative summary. We develop a novel diversity-aware sparse optimization\nmethod for multi-video summarization by exploring the complementarity within\nthe videos. Our approach extracts a multi-video summary which is both\ninteresting and representative in describing the whole video collection. To\nefficiently solve our optimization problem, we develop an alternating\nminimization algorithm that minimizes the overall objective function with\nrespect to one video at a time while fixing the other videos. Moreover, we\nintroduce a new benchmark dataset, Tour20, that contains 140 videos with\nmultiple human created summaries, which were acquired in a controlled\nexperiment. Finally, by extensive experiments on the new Tour20 dataset and\nseveral other multi-view datasets, we show that the proposed approach clearly\noutperforms the state-of-the-art methods on the two problems-topic-oriented\nvideo summarization and multi-view video summarization in a camera network.","url_abs":"http://arxiv.org/abs/1706.03123v1","url_pdf":"http://arxiv.org/pdf/1706.03123v1.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":[],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"video-summarization","task_name":"Video Summarization"}],"methods":[],"datasets_introduced":[{"slug":"tour20","name":"Tour20","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1706.03123","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}