The emergence of Big Data has brought about a paradigm shift to many fields of data analytics. Multimedia is typical big data: not just big in volume, but also unstructured, noisy, redundant, and heterogeneous. Problems we didn’t see before are becoming critical now for big multimedia analysis, e.g., the scalability and high computation cost of sophisticated algorithms, the incompleteness and shortage of well-annotated raw data, the heterogeneity in integrating data from different sources, the difficulty in discovering valuable knowledge from noisy and redundant data, etc. This workshop aims to provide a world's premier forum of renowned researchers to share their insightful opinions and discuss cutting-edge research on the scientific and technological challenges of multimedia big data analysis. The workshop will feature in three types of sessions including keynotes, invited talks and panel discussion.