{"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/a-deep-siamese-network-for-scene-detection-in","title":"A Deep Siamese Network for Scene Detection in Broadcast Videos","arxiv_id":"1510.08893","date":"2015-10-29","proceeding":null,"authors":["Lorenzo Baraldi","Costantino Grana","Rita Cucchiara"],"abstract":"We present a model that automatically divides broadcast videos into coherent\nscenes by learning a distance measure between shots. Experiments are performed\nto demonstrate the effectiveness of our approach by comparing our algorithm\nagainst recent proposals for automatic scene segmentation. We also propose an\nimproved performance measure that aims to reduce the gap between numerical\nevaluation and expected results, and propose and release a new benchmark\ndataset.","url_abs":"http://arxiv.org/abs/1510.08893v1","url_pdf":"http://arxiv.org/pdf/1510.08893v1.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":"a-deep-siamese-network-for-scene-detection-in","repo_url":"https://github.com/Nikhil9786/Scene-Segmentation-Using-MovieScenes-Dataset","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"scene-segmentation","task_name":"Scene Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1510.08893","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}