{"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/towards-semantic-fast-forward-and-stabilized","title":"Towards Semantic Fast-Forward and Stabilized Egocentric Videos","arxiv_id":"1708.04146","date":"2017-08-14","proceeding":null,"authors":["Michel Melo Silva","Washington Luis Souza Ramos","Joao Pedro Klock Ferreira","Mario Fernando Montenegro Campos","Erickson Rangel Nascimento"],"abstract":"The emergence of low-cost personal mobiles devices and wearable cameras and\nthe increasing storage capacity of video-sharing websites have pushed forward a\ngrowing interest towards first-person videos. Since most of the recorded videos\ncompose long-running streams with unedited content, they are tedious and\nunpleasant to watch. The fast-forward state-of-the-art methods are facing\nchallenges of balancing the smoothness of the video and the emphasis in the\nrelevant frames given a speed-up rate. In this work, we present a methodology\ncapable of summarizing and stabilizing egocentric videos by extracting the\nsemantic information from the frames. This paper also describes a dataset\ncollection with several semantically labeled videos and introduces a new\nsmoothness evaluation metric for egocentric videos that is used to test our\nmethod.","url_abs":"http://arxiv.org/abs/1708.04146v2","url_pdf":"http://arxiv.org/pdf/1708.04146v2.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":"towards-semantic-fast-forward-and-stabilized","repo_url":"https://github.com/verlab/SemanticFastForward_ECCVW_2016","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"asd","name":"ASD","full_name":"Annotated Semantic Dataset"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}