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This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain; examines the important topic of multimedia tagging in social environments, including geo-tagging; discusses issues of personalization and privacy in social media; reviews advances in encoding, compression and network architectures for the exchange of social media information; describes a range of applications related to social media.
List of contents
Part I: Fundamentals of Social Media.- Social Video Retrieval.- Social Media Recommendation.- Multimedia Indexing, Search and Retrieval in Large Databases of Social Networks.- Survey on Social Community Detection.- Detecting Multimedia Contents of Social Events in Social Networks.- Part II: Tagging of Social Media.- Georeferencing in Social Networks.- Predicting User Tags in Social Media Repositories Using Semantic Expansion and Visual Analysis.- A Rule-Based Flickr Tag Recommendation System.- Sentic Computing for Social Media Analysis, Representation, and Retrieval.- Highlights Detection in Movie Scenes Through Inter-Users Physiological Linkage.- Towards Emotional Annotation of Multimedia Contents.- Part III: Privacy and Personalisation of Social Media.- Privacy in Recommender Systems.- Geotag Propagation with User Trust Modelling.- Context Aware Content Adaptation for Personalised Social Media Access.- Part IV: Applications and Services.- Progression in Social Media: How PetaMedia Facilitate?.- Video Technology for Storage and Distribution of Personalised Media.- Social Aware TV Content Delivery over Intelligent Networks.- Distributed Media Synchronization for Shared Video Watching.- eGuided: Sharing Media in Academic and Social Networks based on Peer-Assisted Learning e-Portfolios.- Exploiting Social Media for Music Information Retrieval.
About the author
Dr. Naeem Ramzan is a Senior Researcher at Queen Mary University of London, UK.
Dr. Roelof van Zwol is Director of Product Information, Search at Netflix, USA.
Dr. Jong-Seok Lee is an Assistant Professor at Yonsei University, South Korea.
Dr. Kai Clüver is a Research Associate at the Technical University of Berlin, Germany.
Dr. Xian-Sheng Hua is a Lead Researcher at Microsoft, USA.
Summary
This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain; examines the important topic of multimedia tagging in social environments, including geo-tagging; discusses issues of personalization and privacy in social media; reviews advances in encoding, compression and network architectures for the exchange of social media information; describes a range of applications related to social media.
Additional text
"The book is very well written and easy to read, with many data elements, including tables, graphs, and images, some in full color. There is also a rich collection of references at the end of each paper." (Xiannong Meng, ACM Computing Reviews, May 21 2013, Review #: CR141230)
Report
"The book is very well written and easy to read, with many data elements, including tables, graphs, and images, some in full color. There is also a rich collection of references at the end of each paper." (Xiannong Meng, ACM Computing Reviews, May 21 2013, Review #: CR141230)
