Students are encountered with advanced, i.e. latest topics in the field of multimedia systems design, in
\norder to be able to actively and critically design, maintain and use multimedia systems. They know how
\nto obtain big data for analytics, how to transform and store them in various forms, and how to perform
\nadvanced statistical and artificial intelligence analyses, either by programming specific solutions, using
\nlibraries of algorithms, or combining different tools.<\/p>\n
Big multimedia data. Concepts and types of multimedia metadata. Generation, collection and
\ntransformation of big multimedia data. Web crawling and scraping. Application of artificial
\nintelligence to multimedia systems. Multimedia collective intelligence techniques. Multimedia
\ncontent recommendation – collaborative filtering. Multimedia search. Automatic search of photos by
\nproperties. Clustering of multimedia content. Finding independent characteristics. Large text as
\nmultimedia content and large text analytics. Techniques, tools and challenges in the development of
\ncomplex multimedia applications. Security and copyright protection in multimedia systems.<\/p>\n
Using open platforms Knime and Hadoop. Students are trained to independently analyse
\nand optimise multimedia systems and content, using the tools and techniques they are familiar with.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Students are encountered with advanced, i.e. latest topics in the field of multimedia systems design, in order to be able to actively and critically design, maintain and use multimedia systems. They know … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-13818","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n