SMUE 2014 - International Workshop on Social Media Utilization Environment (SMUE2014)

In the field of multimedia image processing, semantic multi-media retrieval has been in a main focus of research for the last two decades. Recently a large number of cutting-edge algorithms have been developed using object recognition techniques for predetermined domains such as identifying animals and plants over the Internet or large datasets. In order to overcome the so-called "semantic gap", content-based image retrieval methods using low-level visual features have been exploited and applied at early years until now. Today newer methods have been developed. Artificial intelligence and machine learning techniques applying mainly unsupervised learning is a focused research area. A more recent research, which is gaining an increased interest, is connecting low-level features with contextual and conceptual information. Meanwhile, emergence of high-end devices such as smart phones comes with a wide variety of metadata. Selectively applying some useful metadata can further improve intelligence of the semantic multi-media research environment.