This collection of papers addresses the multifaceted challenges and advancements in multimedia modeling from a 2016 perspective. The 22nd International Conference on Multimedia Modeling (MMM 2016) brought together researchers to present their findings on video content analysis, social media analysis, object recognition, multimedia retrieval, representation, machine learning applications, and human-computer interaction within multimedia contexts. The proceedings include revised full papers, poster papers, special session contributions, demonstrations, and video showcase papers, reflecting a broad spectrum of research and development in the field.

The proceedings of the 22nd International Conference on Multimedia Modeling (MMM 2016) offer a snapshot of the research landscape in multimedia analysis and modeling as of early 2016. The inclusion of papers from regular sessions, special sessions, demonstrations, and video showcases indicates a comprehensive approach to covering the field's breadth. The focus on topics such as video content analysis, social media analysis, and machine learning in multimedia suggests a strong emphasis on data-driven approaches and computational techniques for understanding and processing multimedia information.