TRACK B: Multimedia big data

PRE-PROCESSING OF VISUAL INFORMATION  (basic) – 17-18 JULY 2017
Course objective: Familiarizing with image processing
Course contents: Image/video content pre-processing: contrast enhancement, smoothing and noise removal techniques

MULTIMEDIA CONTENT REPRESENTATION  (adv) – 24-27 JULY 2017
Course objective: Learning multimedia features and their representation
Course contents: Data representation, data analysis techniques; content description including color, texture, shape, features, motion, temporal structure, audio, text; social data and common analytics techniques; data normalization and decorrelation techniques

MULTIMEDIA CLASSIFICATION (adv) – 7-8 SEPTEMBER 2017
Course objective: Learning tools for categorizing multimedia contents
Course contents: Unsupervised clustering: hierarchical clustering, k-means; supervised classification: k-NN, Support Vector Machines, decision trees for information retrieval and content understanding

MULTIMEDIA RETRIEVAL   (adv – onsite course IN BUCAREST) – 7-8 and 11-12 SEPTEMBER 2017
Course objective: Learning principles of content-based retrieval from large datasets
Course contents: Information retrieval systems; data indexing data similarity; data fusion; relevance feedback; performance metrics

Analysis of user behavior and improving conversion rates, reading and interpretation of analytics to measure the performance online (google analytics, insights facebook, twitter analytics and reports mailchimp). The ratio of the number of visitors who access a website and how many of these conduct a certain action, Google AdWords, Facebook Ads.

The course will also address the following topics:

• Overview of new technologies applicable to exhibition spaces and museums. It will discuss the concept of interactive and virtual spaces, of recommendation and dynamic content personalization, offering students an overview of the techniques and tools currently available and the subject of scientific research study.
• Design of multimedia spaces capable of providing to the user a personalized and captivating experience through the use of sensors that make the interactive space and “intelligent”.