Big Media Data Analysis

被引：4
|
作者：
Iosifidis, Alexandros [1 ,3 ]
Tefas, Anastasios [2 ]
Pitas, Icannis [2 ]
Gabbouj, Moncef [3 ]
机构：
[1] Aarhus Univ, Dept Engn Elect & Comp Engn, Aarhus, Denmark
[2] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki, Greece
[3] Tampere Univ Technol, Lab Signal Proc, Tampere, Finland
来源：
SIGNAL PROCESSING-IMAGE COMMUNICATION | 2017年 / 59卷
关键词：
Big Media Data; Data analytics; Machine learning; Statistical learning; Deep learning; EXTREME LEARNING-MACHINE; FACE RECOGNITION; FEATURES; AUDIO; IMAGE;
D O I：
10.1016/j.image.2017.10.004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this editorial a short introduction to the special issue on Big Media Data Analysis is given. The scope of this Editorial is to briefly present methodologies, tasks and applications of big media data analysis and to introduce the papers of the special issue. The special issue includes six papers that span various media analysis application areas like generic image description, medical image and video analysis, distance calculation acceleration and data collection. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码：105 / 108
页数：4
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