Big Data Analytics for Large-Scale Multimedia Search

Stefanos / Huet Vrochidis

408 pages, parution le 11/04/2019

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Résumé

The rapid advancements of digital technologies and the internet penetration, as well as the availability of digital cameras and smart-phones, have resulted in a great increase of multimedia data production worldwide. The amount of multimedia data available every day is enormous and is growing at an exponential rate. Therefore, there is a need for new and more efficient approaches for large scale multimedia search. In this context, this book will address the area of multimedia retrieval with a special emphasis on scalability. Specific topics will include: Concept and event-based video search in large collections; Multimedia retrieval models for big data; Approximate methods for big multimedia data retrieval; Domain adaptation for large scale multimedia search; Semantic search in large multimedia collections; Deep learning methods for large scale multimedia retrieval; Unsupervised and semi-supervised methods on big multimedia data; Large scale multimedia search based on multimodal fusion; Data-driven techniques for representation learning and classification on Big Data; Big data analysis on the web and social networks; Distributed solutions and architectures for big multimedia data analysis and retrieval; Big Media.

Stefanos Vrochidis is a Senior Researcher with the Information Technologies Institute, ITI-CERTH in Greece. His research interests include multimedia retrieval, semantic multimedia analysis, multimodal big data analytics, web data mining, multimodal interaction and security applications.

Benoit B. 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, 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 UC 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.

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	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Stefanos / Huet Vrochidis
Parution	11/04/2019
Nb. de pages	408
EAN13	9781119376972

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Big Data Analytics for Large-Scale Multimedia Search

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