This nonprofit institute is home to 450 scientists, academics and others who work on things like language technology, embedded intelligence, augmented reality, knowledge management, and multimedia analysis and data mining.
In the past few years, interdisciplinary collaborations among experts in cryptography, multimedia, pattern recognition, and data mining have produced important theoretical results and practical protocols that began to find their usage in practical applications.
Graphs are an important data representation, which have been extensively used in many scientific fields such as data mining, bioinformatics, multimedia content retrieval and computer vision.
Amongst these are communications, multimedia, biometrics, big data, cloud computing, data mining, internet, social networks, and audio video surveillance.
There have been studies on mining and analyzing such multimedia data [73 76], however we are still far from the degree of the intelligence, which may turn immense pools of user-generated content into meaningful insights.
Further developments focused on transaction processing and on extending DBMS to support new types of data (e.g., spatial, multimedia, etc)., data analysis techniques and systems (e.g., data warehouses, OLAP systems, data mining).
