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[2017-07-28][EI, ESCI 期刊] Advances in Multimedia （Special Issue： Social Anno
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With the rapid development of the World Wide Web, social networking sites, wikis, and social tagging systems are becoming increasingly popular, and the social annotations give a new ground for identifying useful information for multimedia resources, where data mining techniques for social annotations play an important role. Along with the interactions between users and multimedia data, fruitful information can potentially be exploited by us to better model the multimedia resources via social computing techniques, such as personalization, mining user reviews, user profiling in social networks, and sentiment analysis for user opinion mining. Connecting social annotations and multimedia resources can not only enrich multimedia object modeling but also facilitate user-centered social computing in the big data era. Furthermore, these semantically rich annotations consolidate conventional multimedia techniques with social computing as a promising direction and offer opportunities for developing novel algorithms, methods, and tools for various multimedia objects. This special issue is intended for researchers and practitioners who are interested in issues that arise from using social annotations for multimedia resources. Potential topics include but are not limited to the following: Exploitation of the social annotations for multimedia data The identification of semantics underlying annotation data for user modeling and efficient algorithms for multimedia data management The application of social computing techniques in research fields related to (but not limited) the following: Social annotations for multimedia resources Semantic mining from social annotations Modeling multimedia resources by incorporating social annotations Multimedia applications in modality and multiple sources Social and collaborative information retrieval for multimedia data Personalized techniques for multimedia data Community extraction and exploitation for multimedia data Information propagation and user modeling in social networks User sentiment analysis and mining in multimedia big data Social review and opinion mining for multimedia data Mobile and ubiquitous computing for multimedia data Context-aware information access for multimedia data Trust, security, and privacy for multimedia data Learner modeling in multimedia educational data Semantic extraction and mining for multimedia data Efficient data mining and social computing in multimedia data Domain-specific user modeling and social computing applications in multimedia data Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/am/samr/. Manuscript Due Friday, 28 July 2017 First Round of Reviews Friday, 20 October 2017 Publication Date Friday, 15 December 2017 Lead Guest Editor Zhaoqing Pan, Nanjing University of Information Science and Technology, Nanjing, China Guest Editors Haoran Xie, Education University of Hong Kong, Tai Po, Hong Kong Xiaohui Tao, University of Southern Queensland, Toowoomba, Australia Sudeng Hu, University of Southern California, Los Angeles, USA Zhihan Lv, University College London, London, UK Fu Lee Wang, Caritas Institute of Higher Education, Tseung Kwan O, Hong Kong [ Last edited by 杈杈 on 2017-3-14 at 16:40 ] |
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