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In this paper a role of virtual reality in self-directed learning is introduced and discussed. Within a H2020 project Newton a new platform for distance learning based on student centric model is designed and realized. Fields like learning management system, virtual laboratories, augmented reality, assessment method and multimodal system are important parts of the designed platform and are included in this paper. Main focus is oriented to game-based learning using virtual reality (VR) in education. As an example, game-based VR application describing the functionality of firewall is discussed. “Firewall” application is going to be used in one of the pilot projects for testing the philosophy and Newton platform in education. We describe the proposed integration of the VR applications to the learning platform and propose the usage assessment.

This research aims to increase quality of experience for video consumers by adaptive delivery of multimedia content. We summarize ways of detecting salient regions in observed scene and current state of dynamic adaptive streaming over HTTP (DASH). We propose to extend DASH video delivery system, based on saliency information gathered using eye tracking. This extension enables to enhance the quality in certain regions in video and is particularly suitable for adaptive multimedia content delivery in 5G Networks.

This research aims to increase quality of experience for video consumers by introducing an approach with saliency-based video foveation coupled with compression algorithm. This approach uses eye tracking information to build the saliency map and allows multiple usage scenarios. The approach can be used in single or multiple viewer environments. We evaluate the approach and provide results based on subjective measurements. The results confirm that the proposed approach for video compression is competitive and can deliver better quality of experience than standard video compression algorithms.