We show that by using qualitative spatio-temporal abstraction methods, we can learn common human movements and activities from long term observation by a mobile robot. Our novel framework encodes multiple qualitative abstractions of RGBD video from detected activities performed by a human as encoded by a skeleton pose estimator. Analogously to informational retrieval in text corpora, we use Lat...

Pathfinding systems that operate on regular grids are common in the AI literature and often used in real-time video games. Typical speed-up enhancements include reducing the size of the search space using abstraction, and building more informed heuristics. Though effective each of these strategies has shortcomings. For example, pathfinding with abstraction usually involves trading away optimali...

We present an automatic tool for compact representation and cross-referencing of long video sequences, which is based on a novel visual abstraction of semantic content. Our highly compact hierarchical representation results from the non-temporal clustering of scene segments into a new conceptual form grounded in the recognition of real-world backgrounds. We represent shots and scenes using mosa...

background: end stage renal disease negatively affects the patients’ quality of life. there are different educational methods to help these patients. this study was performed to compare the effectiveness of self-care education in two methods, face to face and video educational, on the quality of life in patients under treatment by hemodialysis in education-medical centers in urmia. methods: in ...

Due to COVID-19, we are adjusting a new educational environment while also being socially isolated. By combining previously established ways of remote education with video conferences, the world is creating sector termed techno-pedagogy. The concept stereochemistry in Organic Chemistry frequently difficult understand even classroom teaching. Plane-polarized light rotation describe because it ne...