{"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/video-captioning-with-recurrent-networks","title":"Video captioning with recurrent networks based on frame- and video-level features and visual content classification","arxiv_id":"1512.02949","date":"2015-12-09","proceeding":null,"authors":["Rakshith Shetty","Jorma Laaksonen"],"abstract":"In this paper, we describe the system for generating textual descriptions of\nshort video clips using recurrent neural networks (RNN), which we used while\nparticipating in the Large Scale Movie Description Challenge 2015 in ICCV 2015.\nOur work builds on static image captioning systems with RNN based language\nmodels and extends this framework to videos utilizing both static image\nfeatures and video-specific features. In addition, we study the usefulness of\nvisual content classifiers as a source of additional information for caption\ngeneration. With experimental results we show that utilizing keyframe based\nfeatures, dense trajectory video features and content classifier outputs\ntogether gives better performance than any one of them individually.","url_abs":"http://arxiv.org/abs/1512.02949v1","url_pdf":"http://arxiv.org/pdf/1512.02949v1.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":"video-captioning-with-recurrent-networks","repo_url":"https://github.com/aalto-cbir/neuraltalkTheano","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"video-captioning-with-recurrent-networks","repo_url":"https://github.com/rakshithShetty/captionGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"caption-generation","task_name":"Caption Generation"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-captioning","task_name":"Image Captioning"},{"task_slug":"video-captioning","task_name":"Video Captioning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}