{"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/visual-summary-of-egocentric-photostreams-by","title":"Visual Summary of Egocentric Photostreams by Representative Keyframes","arxiv_id":"1505.01130","date":"2015-05-05","proceeding":null,"authors":["Marc Bolaños","Ricard Mestre","Estefanía Talavera","Xavier Giró-i-Nieto","Petia Radeva"],"abstract":"Building a visual summary from an egocentric photostream captured by a\nlifelogging wearable camera is of high interest for different applications\n(e.g. memory reinforcement). In this paper, we propose a new summarization\nmethod based on keyframes selection that uses visual features extracted by\nmeans of a convolutional neural network. Our method applies an unsupervised\nclustering for dividing the photostreams into events, and finally extracts the\nmost relevant keyframe for each event. We assess the results by applying a\nblind-taste test on a group of 20 people who assessed the quality of the\nsummaries.","url_abs":"http://arxiv.org/abs/1505.01130v2","url_pdf":"http://arxiv.org/pdf/1505.01130v2.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":"visual-summary-of-egocentric-photostreams-by","repo_url":"https://github.com/MarcBS/Egocentric-Visual-Keyframes-Summary","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}