Big Data Analytics for Large-Scale Multimedia Search

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.

這本書提供了一個及時的概述，介紹了多媒體檢索的尖端技術，特別強調可擴展性。

每天可用的多媒體數據量巨大，並以指數級增長，這就需要新的更高效的方法來進行大規模的多媒體搜索。本書解決了這個需求，涵蓋了多媒體檢索領域，並特別強調可擴展性。它報告了大規模多媒體搜索的最新研究成果，包括研究方法和應用，並結構化地呈現，使具有基本知識的讀者能夠理解核心信息，同時還允許專家和專業人士深入研究分析部分。

《大規模多媒體搜索的大數據分析》涵蓋了以下內容：在大型數據集中進行表示學習、基於概念和事件的視頻搜索；大數據多媒體挖掘、大規模視頻理解、大型多媒體數據融合、大規模社交多媒體分析、隱私和視聽內容、大型多媒體數據的數據存儲和管理、大規模多媒體搜索、使用深度學習進行多媒體標記、大型多媒體的交互界面以及使用大型多模態數據的醫學決策支持應用。

本書的特點包括：關注多媒體檢索領域，特別關注可擴展性問題；提供以問題為導向的技術，並通過實際案例研究和用戶場景進行演示；包含表格、插圖和圖片；提供了一個Wiley主辦的BCS，其中包含指向開源算法、數據集和工具的鏈接。

《大規模多媒體搜索的大數據分析》是一本適合學術界、工業研究人員和開發人員的優秀書籍，對於對大型多媒體數據搜索檢索感興趣的顧問和多媒體行業專業人士也很有吸引力。