{"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/semantic-summarization-of-egocentric-photo","title":"Semantic Summarization of Egocentric Photo Stream Events","arxiv_id":"1511.00438","date":"2015-11-02","proceeding":null,"authors":["Aniol Lidon","Marc Bolaños","Mariella Dimiccoli","Petia Radeva","Maite Garolera","Xavier Giró-i-Nieto"],"abstract":"With the rapid increase of users of wearable cameras in recent years and of\nthe amount of data they produce, there is a strong need for automatic retrieval\nand summarization techniques. This work addresses the problem of automatically\nsummarizing egocentric photo streams captured through a wearable camera by\ntaking an image retrieval perspective. After removing non-informative images by\na new CNN-based filter, images are ranked by relevance to ensure semantic\ndiversity and finally re-ranked by a novelty criterion to reduce redundancy. To\nassess the results, a new evaluation metric is proposed which takes into\naccount the non-uniqueness of the solution. Experimental results applied on a\ndatabase of 7,110 images from 6 different subjects and evaluated by experts\ngave 95.74% of experts satisfaction and a Mean Opinion Score of 4.57 out of\n5.0. Source code is available at\nhttps://github.com/imatge-upc/egocentric-2017-lta","url_abs":"http://arxiv.org/abs/1511.00438v3","url_pdf":"http://arxiv.org/pdf/1511.00438v3.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":"semantic-summarization-of-egocentric-photo","repo_url":"https://github.com/imatge-upc/egocentric-2017-lta","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"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}