Big Data Analytics for Large-Scale Multimedia Search (eBook)

Stefanos Vrochidis is a Senior Researcher with the Information Technologies Institute (CERTH-ITI) in Greece. His research interests include multimedia retrieval, semantic multimedia analysis, multimodal big data analytics, web data mining, multimodal interaction and security applications. Benoit Huet is Assistant Professor in the Data Science Department of EURECOM, France. His current research interests include large scale multimedia content analysis, mining and indexing, multimodal fusion, and affective and socially-aware multimedia. Edward Y. Chang has acted as the President of AI Research and Healthcare at HTC since 2012. Prior to his current post, he was a director of research at Google from 2006 to 2012, and a professor at the University of California, Santa Barbara, from 1999 to 2006. He is an IEEE Fellow for his contribution to scalable machine learning. Ioannis Kompatsiaris is a Senior Researcher with the Information Technologies Institute (CERTH-ITI) in Greece, leading the Multimedia, Knowledge and Social Media Analytics Lab. His research interests include large-scale multimedia and social media analysis, knowledge structures and reasoning, eHealth, security and environmental applications.

About the companion website

Chapter 1: Introduction

Chapter 2: Feature extraction from big multimedia data

2.1. Representation Learning, Models and Practice

2.2. Concept-based and event-based search in large video collections

2.3. Big Data Multimedia Mining: Feature Extraction facing Volume, Velocity, and Variety

Chapter 3: Learning algorithms for large scale multimedia

3.1. Large Scale Video Understanding with Limited Training Labels

3.2. Multimodal fusion of big multimedia data

3.3. Large-Scale Social Multimedia Analysis

3.4. Privacy and audiovisual content: Protecting users as big multimedia data grows bigger

Chapter 4: Scalability in multimedia access

4.1. Data Storage and Management for Big Multimedia

4.2. Perceptual hashing for large-scale multimedia search

Chapter 5: Applications of large scale multimedia search

5.1. Image tagging with deep learning: Fine-grained Visual Analysis

5.2. Visually Exploring Millions of Images Using Image Maps and Graphs

5.3. Medical Decision Support Using Increasingly Large Multimodal Data Sets

Chapter 6: Conclusions and future trends