{"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/automatic-understanding-of-image-and-video","title":"Automatic Understanding of Image and Video Advertisements","arxiv_id":"1707.03067","date":"2017-07-10","proceeding":"CVPR 2017 7","authors":["Zaeem Hussain","Mingda Zhang","Xiaozhong Zhang","Keren Ye","Christopher Thomas","Zuha Agha","Nathan Ong","Adriana Kovashka"],"abstract":"There is more to images than their objective physical content: for example,\nadvertisements are created to persuade a viewer to take a certain action. We\npropose the novel problem of automatic advertisement understanding. To enable\nresearch on this problem, we create two datasets: an image dataset of 64,832\nimage ads, and a video dataset of 3,477 ads. Our data contains rich annotations\nencompassing the topic and sentiment of the ads, questions and answers\ndescribing what actions the viewer is prompted to take and the reasoning that\nthe ad presents to persuade the viewer (\"What should I do according to this ad,\nand why should I do it?\"), and symbolic references ads make (e.g. a dove\nsymbolizes peace). We also analyze the most common persuasive strategies ads\nuse, and the capabilities that computer vision systems should have to\nunderstand these strategies. We present baseline classification results for\nseveral prediction tasks, including automatically answering questions about the\nmessages of the ads.","url_abs":"http://arxiv.org/abs/1707.03067v1","url_pdf":"http://arxiv.org/pdf/1707.03067v1.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":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"image-and-video-advertisements","name":"Image and Video Advertisements","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1707.03067","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}