A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalabilityThe amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections.Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data.* Addresses the area of multimedia retrieval and pays close attention to the issue of scalability* Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios* Includes tables, illustrations, and figures* Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and toolsBig Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

About the companion websiteChapter 1: IntroductionChapter 2: Feature extraction from big multimedia data2.1. Representation Learning, Models and Practice2.2. Concept-based and event-based search in large video collections2.3. Big Data Multimedia Mining: Feature Extraction facing Volume, Velocity, and VarietyChapter 3: Learning algorithms for large scale multimedia3.1. Large Scale Video Understanding with Limited Training Labels3.2. Multimodal fusion of big multimedia data3.3. Large-Scale Social Multimedia Analysis3.4. Privacy and audiovisual content: Protecting users as big multimedia data grows biggerChapter 4: Scalability in multimedia access4.1. Data Storage and Management for Big Multimedia4.2. Perceptual hashing for large-scale multimedia searchChapter 5: Applications of large scale multimedia search5.1. Image tagging with deep learning: Fine-grained Visual Analysis5.2. Visually Exploring Millions of Images Using Image Maps and Graphs5.3. Medical Decision Support Using Increasingly Large Multimodal Data SetsChapter 6: Conclusions and future trends