Social Media Retrieval

1. Front Matter

   Pages i-xi

   PDF

2. Fundamentals of Social Media

   1. Front Matter

      Pages 1-1

      PDF

   2. Social Video Retrieval: Research Methods in Controlling, Sharing, and Editing of Web Video

      • Konstantinos Chorianopoulos, David A. Shamma, Lyndon Kennedy

      Pages 3-22

   3. Social Media Recommendation

      • Zhi Wang, Wenwu Zhu, Peng Cui, Lifeng Sun, Shiqiang Yang

      Pages 23-42

   4. Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks

      • Theodoros Semertzidis, Dimitrios Rafailidis, Eleftherios Tiakas, Michael G. Strintzis, Petros Daras

      Pages 43-63

   5. Survey on Social Community Detection

      • Michel Plantié, Michel Crampes

      Pages 65-85

   6. Detecting Multimedia Contents of Social Events in Social Networks

      • Mohamad Rabbath, Susanne Boll

      Pages 87-111

3. Tagging of Social Media

   1. Front Matter

      Pages 113-113

      PDF

4. Tagging of social Media

   1. Georeferencing in Social Networks

      • Pascal Kelm, Vanessa Murdock, Sebastian Schmiedeke, Steven Schockaert, Pavel Serdyukov, Olivier van Laere

      Pages 115-141

   2. Predicting User Tags in Social Media Repositories Using Semantic Expansion and Visual Analysis

      • Tomas Piatrik, Qianni Zhang, Xavier Sevillano, Ebroul Izquierdo

      Pages 143-167

   3. A Rule-Based Flickr Tag Recommendation System

      • Luca Cagliero, Alessandro Fiori, Luigi Grimaudo

      Pages 169-189

   4. Sentic Computing for Social Media Analysis, Representation, and Retrieval

      • Erik Cambria, Marco Grassi, Soujanya Poria, Amir Hussain

      Pages 191-215

   5. Highlight Detection in Movie Scenes Through Inter-users, Physiological Linkage

      • Christophe Chênes, Guillaume Chanel, Mohammad Soleymani, Thierry Pun

      Pages 217-237

   6. Toward Emotional Annotation of Multimedia Contents

      • Ashkan Yazdani, Jong-Seok Lee, Touradj Ebrahimi

      Pages 239-259

5. Privacy and Personalisation of Social Media

   1. Front Matter

      Pages 261-261

      PDF

6. Privacy and personalisation of social media

   1. Privacy in Recommender Systems

      • Arjan J. P. Jeckmans, Michael Beye, Zekeriya Erkin, Pieter Hartel, Reginald L. Lagendijk, Qiang Tang

      Pages 263-281

   2. Geotag Propagation with User Trust Modeling

      • Ivan Ivanov, Peter Vajda, Jong-Seok Lee, Pavel Korshunov, Touradj Ebrahimi

      Pages 283-304

   3. Context-Aware Content Adaptation for Personalised Social Media Access

      • Hemantha Kodikara Arachchi, Safak Dogan

      Pages 305-338

7. Applications and Services

   1. Front Matter

      Pages 339-339

      PDF

8. Applications and services

   1. Research in Social Media: How the EC Facilitates R&D Innovation

      • Loretta Anania

      Pages 341-346

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.

• Distribution of Media
• Multimedia Retrieval
• Personalization
• Social Media
• Social Networks
• Tagging

"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)

• Department of Electronic Engineering, Queen Mary University of London, London, United Kingdom

  Naeem Ramzan

• Director of Product Innovation, Search, Netflix, Los Gatos, USA

  Roelof Zwol

• School of Integrated Technology, Yonsei University, Incheon, Korea, Republic of (South Korea)

  Jong-Seok Lee

• Institut für Telekommunikationssysteme, Technische Universität Berlin, Berlin, Germany

  Kai Clüver

• Media Computing Group, Microsoft Research, Bellevue, USA

  Xian-Sheng Hua

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.

Policies and ethics