多媒体大数据计算

IEEE Multim. Pub Date : 2015-08-07 DOI:10.1109/MMUL.2015.66
Wenwu Zhu, Peng Cui, Zhi Wang, Gang Hua
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引用次数: 77

摘要

随着社交媒体的蓬勃发展,互联网和移动生态系统的蓬勃发展,产生了大量的多媒体数据,形成了多媒体大数据。然而,由于多媒体数据的非结构化和多模态特性,以及对实时性和体验质量的要求,多媒体大数据计算在创造前所未有的机遇的同时,也在存储、处理和分析等方面提出了根本性的挑战。本文介绍了多媒体大数据计算的主要概念,讨论了多媒体大数据计算的科学问题和基本挑战,并从多媒体生命周期和多媒体大数据计算生命周期的角度介绍了多媒体大数据计算的方法和途径。并对多媒体大数据计算的研究机会和方向进行了展望。
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Multimedia Big Data Computing
With the proliferation of social media, which is largely fostered by the boom of the Internet and mobile ecosystems, a huge amount of multimedia data has been generated, forming the multimedia big data. However, because multimedia data is unstructured and multimodal in nature, with real-time and Quality of Experience requirements, multimedia big data computing has not only created unprecedented opportunities but also imposed fundamental challenges in storage, processing, and analysis. Here, the authors introduce the principal concepts for multimedia big data computing, discuss what the scientific problems and fundamental challenges are, and present methodologies and approaches from the perspectives of the multimedia life cycle and multimedia big data computing life cycle. They also speculate on the research opportunities and directions for multimedia big data computing.
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