Computer Science

Interactive multimedia 

Interactive media are generally digital media, and multimedia elements include graphic design computer (including 2D and 3D animation), digital photography, video, sound, and information-carrying text. Techniques used in multimedia interaction include not only signal processing, but also machine learning methods, including deep neural networks.

Career prospects:

A graduate of the "Interactive Multimedia" path, as a specialist in various types of multimedia interfaces, can find employment in many occupations related to
information systems. He or she can take up jobs as an interaction designer, user experience and usability evaluation specialist, audio/video developer, text mining/data mining specialist, machine learning and pattern recognition specialist, computer vision and natural language specialist, speech synthesis/recognition specialist, usability and design specialist, multimedia application developer, and many others.

The most specific subjects in the curriculum for this silhouette are:

- Digital signal and image processing;
- Advanced multimedia techniques
- Linguistic engineering;

CandidateProfile:
The candidate should have basic knowledge and skills in programming and multimedia.

Graduate Competencies:

• Knows and applies principles and techniques of user interface design and testing;
• He has comprehensive knowledge of multimodal interfaces, voice interfaces, GUIs (graphical user interfaces), interfaces for mobile devices, motion interfaces (e.g. Kinect) and others;
• He knows the principles of accessibility of systems and interfaces and the creation of dedicated interfaces for special groups of users, such as those with disabilities;
• It has knowledge of computational linguistics;
• He knows the principles of analyzing textual data and extracting information from texts;
• Able to use technologies for natural language processing (NLP, natural language processing), automatic speech recognition and translation, and speech synthesis; 
• It uses tools to create ASR (automatic speech recognition) and SMT(statistical machine translation) systems;
• Knows and can use digital signal and image processing techniques, audio, image processing techniques, and graphics generation;
• He knows methods of classification and object recognition;
• It uses virtual and augmented reality techniques;

Examples of completed thesis topics:

• A speech synthesis system based on an acoustic base recorded by a non-professional speaker.
• An image segmentation method for sidewalk recognition using convolutional neural networks.
• Voice quality classification using RBH scale and deep neural networks.
• The impact of the graphical user interfaces used in video games on the perception of gameplay mechanics by different types of players.
• Aphastory-an app designed for people affected by aphasia using Google Glass.
• Mobile application to support the rehabilitation process for people affected by sensory aphasia.
• Aphasia Planner - a mobile application project for people affected by aphasia.
• Hybrid music recommendation system.
• Streamline manual testing processes by implementing automated tests.

List of supervisors:

- dr hab. Sc. Krzysztof Szklanny, Prof. PJAIT
- dr hab. .Sc. Ryszard Gubrynowicz, Prof. PJAIT
- dr hab. .Sc. Alicja Wieczorkowska, Prof. PJAIT
- D.Sc. Mariusz Kleć
- D.Sc. Piotr Wrzeciono
- M.Sc. Michał Żbikowski
- M.Sc. Maksymilian Kubica
- M.Sc. Hai Duong Minh