{"title":"多媒体取证与图像和视频中的虚假信息:经验教训和新挑战","authors":"R. Caldelli","doi":"10.1145/3592572.3596489","DOIUrl":null,"url":null,"abstract":"From the very beginning when photography appeared and then much more in the digital era, images and videos have been edited not only to improve the visual quality of what they represented but also to change what had been acquired to mystify the reality. This is often done in order to transfer a different meaning to the watcher and basically mislead his/her opinion. On the other side, during the years, the need for even more effective defense instruments able to detect such alterations has increased. This has become particularly crucial with the advent of deep-learning based techniques that have allowed to rather easily achieve realistic results in content manipulation (deepfakes) but also in multimedia synthetic generation. This talk will provide a look throughout the evolution of the various kinds of manipulations with a parallel focus on the diverse multimedia forensic techniques and approaches [1, 2]. An analysis will be carried out to try to understand how needs and solutions have been evolved [3] in order to fix the lesson learnt and to individuate future research challenges.","PeriodicalId":239252,"journal":{"name":"Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation","volume":"49 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multimedia Forensics versus disinformation in images and videos: lesson learnt and new challenges\",\"authors\":\"R. Caldelli\",\"doi\":\"10.1145/3592572.3596489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"From the very beginning when photography appeared and then much more in the digital era, images and videos have been edited not only to improve the visual quality of what they represented but also to change what had been acquired to mystify the reality. This is often done in order to transfer a different meaning to the watcher and basically mislead his/her opinion. On the other side, during the years, the need for even more effective defense instruments able to detect such alterations has increased. This has become particularly crucial with the advent of deep-learning based techniques that have allowed to rather easily achieve realistic results in content manipulation (deepfakes) but also in multimedia synthetic generation. This talk will provide a look throughout the evolution of the various kinds of manipulations with a parallel focus on the diverse multimedia forensic techniques and approaches [1, 2]. An analysis will be carried out to try to understand how needs and solutions have been evolved [3] in order to fix the lesson learnt and to individuate future research challenges.\",\"PeriodicalId\":239252,\"journal\":{\"name\":\"Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation\",\"volume\":\"49 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3592572.3596489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd ACM International Workshop on Multimedia AI against Disinformation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3592572.3596489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multimedia Forensics versus disinformation in images and videos: lesson learnt and new challenges
From the very beginning when photography appeared and then much more in the digital era, images and videos have been edited not only to improve the visual quality of what they represented but also to change what had been acquired to mystify the reality. This is often done in order to transfer a different meaning to the watcher and basically mislead his/her opinion. On the other side, during the years, the need for even more effective defense instruments able to detect such alterations has increased. This has become particularly crucial with the advent of deep-learning based techniques that have allowed to rather easily achieve realistic results in content manipulation (deepfakes) but also in multimedia synthetic generation. This talk will provide a look throughout the evolution of the various kinds of manipulations with a parallel focus on the diverse multimedia forensic techniques and approaches [1, 2]. An analysis will be carried out to try to understand how needs and solutions have been evolved [3] in order to fix the lesson learnt and to individuate future research challenges.