Orestis Tsonis,1 Fani Gkrozou,2 Zoi Barmpalia,1 Annamaria Makopoulou,3 Vassiliki Siafaka4 1Department of Obstetrics and Gynaecology, University Hospital of Ioannina, Ioannina, Greece; 2Department of Obstetrics and Gynaecology, University Hospitals of Birmingham, Birmingham, UK; 3School of Psychology, College of Human Sciences, Bangor University, Ba
This paper proposes a video summarization algorithm called the Mutual Information and Entropy based adaptive Sliding Window (MIESW) method, which is specifically for the static summary of gesture videos.Considering that gesture videos usually have uncertain transition postures and unclear movement boundaries or inexplicable frames, we propose a thr
Classification of the sources of partial discharges has been a standard procedure to assess the status of insulation in high voltage systems.One of the challenges while classifying these sources is the decision on the distinct properties of each one, often requiring the skills of trained human experts.Machine learning offers a solution to this prob