{"title":"Disaster Image Filtering and Summarization Based on Multi-layered Affinity Propagation","authors":"Yimin Yang, Shu‐Ching Chen","doi":"10.1109/ISM.2012.28","DOIUrl":"https://doi.org/10.1109/ISM.2012.28","url":null,"abstract":"In this paper, a disaster image filtering and summarization (DIFS) framework is proposed based on multi-layered affinity propagation. The proposed framework is able to automatically identify and summarize latent semantic themes (scenes) in a disaster topic and filter junk images at the same time. Specifically, the images belonging to a disaster topic are first clustered into different groups based on visual descriptors using affinity propagation (AP). Then the typical instances within each cluster are collected to perform the second-layer clustering for identifying final positive clusters by utilizing both visual and textual similarities concurrently. At both layers, the proposed curve fitting function is applied to select appropriate preference values for the AP algorithm. The experimental results on the real world Flickr data set demonstrate the effectiveness of the proposed framework.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123744127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multimedia Copyright Protection on the Web - Issues and Suggestions","authors":"Chanmin Park, Seung-Hyun Kim, Taehyung Wang","doi":"10.1109/ISM.2012.58","DOIUrl":"https://doi.org/10.1109/ISM.2012.58","url":null,"abstract":"With the rapid technological advances of the computer and the Internet, multimedia data is becoming increasingly widespread. People of all backgrounds are able to create, modify and distribute multimedia data around the world. Multimedia has essentially ushered in a new era of communication and information flow, which has had a significant impact on society. Creators have more opportunities to create content, specifically in the multimedia format. In addition, the intellectual property law plays a key role in protecting the value of multimedia works. However, in reality, it is not easy for the legal system to cope with changes regarding the format and content of multimedia works. In this paper we address the concept of multimedia, the role of copyright, and the technologies that can be used to protect the copyrights of multimedia work. We also discuss current issues on multimedia copyrights on the Web and present our suggestions to multimedia copyright protection on the Web.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132663774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}