Peter Schelkens

TL;DR: The concepts and ideas cited in this paper mainly refer to the Quality of Experience of multimedia communication systems, but may be helpful also for other areas where QoE is an issue, and the document will not reflect the opinion of each individual person at all points.

TL;DR: A novel framework for fully scalable video coding that performs open-loop motion-compensated temporal filtering (MCTF) in the wavelet domain (in-band) is presented, and inspired by recent work on advanced prediction techniques, an algorithm for optimized multihypothesis temporal filtering is proposed.

TL;DR: In this paper, a 3D wavelet-based coding algorithm was proposed for medical volumetric data compression. But, the proposed algorithm is not suitable for medical applications and does not meet the requirements of quality and resolution scalability.

TL;DR: In discussing the rationale behind the vision for JPEG Pleno and how the new standardization initiative aims to reinvent the future of imaging, the authors review plenoptic representation and its underlying practical implications and challenges in implementing real-world applications with an enhanced quality of experience.

TL;DR: A thorough objective investigation of the performance-complexity trade-offs offered by these techniques on medical data is carried out and a comparison of the presented techniques to H.265/MPEG-H HEVC, which is currently the most state-of-the-art video codec available is provided.