{"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/first-steps-toward-camera-model","title":"First Steps Toward Camera Model Identification with Convolutional Neural Networks","arxiv_id":"1603.01068","date":"2016-03-03","proceeding":null,"authors":["Luca Bondi","Luca Baroffio","David Güera","Paolo Bestagini","Edward J. Delp","Stefano Tubaro"],"abstract":"Detecting the camera model used to shoot a picture enables to solve a wide\nseries of forensic problems, from copyright infringement to ownership\nattribution. For this reason, the forensic community has developed a set of\ncamera model identification algorithms that exploit characteristic traces left\non acquired images by the processing pipelines specific of each camera model.\nIn this paper, we investigate a novel approach to solve camera model\nidentification problem. Specifically, we propose a data-driven algorithm based\non convolutional neural networks, which learns features characterizing each\ncamera model directly from the acquired pictures. Results on a well-known\ndataset of 18 camera models show that: (i) the proposed method outperforms\nup-to-date state-of-the-art algorithms on classification of 64x64 color image\npatches; (ii) features learned by the proposed network generalize to camera\nmodels never used for training.","url_abs":"http://arxiv.org/abs/1603.01068v2","url_pdf":"http://arxiv.org/pdf/1603.01068v2.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":"first-steps-toward-camera-model","repo_url":"https://github.com/polimi-ispl/camera-model-identification-with-cnn","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"caffe2","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-forensics","task_name":"Image Forensics"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}