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2014 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

User-centric Social Multimedia Computing

verfasst von: Jitao Sang

Verlag: Springer Berlin Heidelberg

Buchreihe : Springer Theses

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book presents the first paradigm of social multimedia computing completely from the user perspective. Different from traditional multimedia and web multimedia computing which are content-centric, social multimedia computing rises under the participatory Web2.0 and is essentially user-centric. The goal of this book is to emphasize the user factor in facilitating effective solutions towards both multimedia content analysis, user modeling and customized user services. Advanced topics like cross-network social multimedia computing are also introduced as extensions and potential directions along this research line.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
Different from traditional and web multimedia computing which are content-centric, social multimedia computing is essentially user-centric: (1) social multimedia data is constituted by what users see, listen, think, feel, and speak; (2) social multimedia analysis and application is toward customized user services. In this chapter, we first give an overview of social multimedia computing, introduce the challenges and progresses in this field, and then describe the specifications of user-centric social multimedia computing. At the end, we outline the structure of this book.
Jitao Sang
Chapter 2. User-Perceptive Multimedia Content Analysis
Abstract
Typical social multimedia services allow users as uploaders, viewers, taggers, and commenters to interact and collaborate with each other in a communication dialog. The wisdom of crowds provides a huge resource for understanding social multimedia content. In this chapter, we explicitly model user interaction in the tag generation process and propose a regularized tensor factorization solution to refine the ternary correlations among user, image, and tag. While the traditional social tag analysis work focus on analyzing the image-tag binary correlation, taking user factor into consideration shows superior performance in image tag refinement task.
Jitao Sang
Chapter 3. User Modeling on Social Multimedia Activity
Abstract
The increasing social multimedia activities conducted on multimedia sharing web sites reveal user attributes, such as age, gender, and personal interest, which have been exploited for user modeling, retrieval, and personalization. While existing user modeling solutions are devoted to inferring user attribute independently, in this chapter, we investigate the problem of relational user attribute inference. The task of attribute relation mining and user attribute inference are addressed in a unified framework.
Jitao Sang
Chapter 4. Personalized Multimedia Search
Abstract
Given results from multimedia content analysis and user modeling, personalized multimedia services are developed to satisfy customized needs. In this chapter, we introduce a general solution framework for personalized multimedia search. We first propose a multimodal generative model to simultaneously address tasks of multimedia content analysis and user modeling, and then present the risk minimization-based theoretical framework for personalized image search. The framework considers the noisy tag issue and enables easy incorporation of social relation.
Jitao Sang
Chapter 5. Cross-Network Social Multimedia Computing
Abstract
Social multimedia contributes significantly to the arrival of the Big Data era. The distribution of social multimedia content and users’ social multimedia activities among various social media networks motivate us to investigate social multimedia computing under the cross-network circumstances. We interpret cross-network as the “variety” of social multimedia: the heterogeneous data in various social media networks. In this chapter, basic tasks of user-centric social multimedia computing are extended under the cross-network circumstances, by exploiting the overlapped users among social media networks.
Jitao Sang
Chapter 6. Conclusion
Abstract
The past decade has witnessed the rapid popularity of multimedia generation and consuming via social media, which features in diversity, heterogeneity, and interconnection. These unique characteristics have posed challenges to social multimedia computing and applications. In this book, we have introduced our research on social multimedia computing from the user-centric perspective. It involves with three basic tasks of user-perceptive multimedia content understanding, user modeling on social multimedia activity, and personalized multimedia services. Moreover, as extensions of social multimedia computing in the big data era, we introduce the research topic of cross-network social multimedia computing. A general framework based on the overlapped users is presented for solutions.
Jitao Sang
Backmatter
Metadaten
Titel
User-centric Social Multimedia Computing
verfasst von
Jitao Sang
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Electronic ISBN
978-3-662-44671-3
Print ISBN
978-3-662-44670-6
DOI
https://doi.org/10.1007/978-3-662-44671-3

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