The journal paper, titled “An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring”, by Marjan Alirezaie, Andrey Kiselev, Martin Längkvist, Franziska Klügl and Amy Loutfi has been accepted in the Sensors journal, special issue “Remote Sensing and GIS for Geo-Hazards and Disasters”. The full article can be found on the journal webpage.
Cognitive Vision: On Deep Semantics in Visuo-Spatial Computing
Mehul Bhatt (Orebro University, and University of Bremen), and
Jakob Suchan (University of Bremen)
This tutorial at AAAI 2018 presents cognitive vision from the perspectives of language, logic, and artificial intelligence. The tutorial focusses on application areas where explainability and semantic interpretation of dynamic visuo-spatial imagery are central, e.g., for commonsense scene understanding; vision for robotics and HRI; narrative interpretation from the viewpoints of visuo-auditory perception & digital media, multimodal sensemaking of data.
We particularly highlight Deep (Visuo-Spatial) Semantics, denoting the existence of systematic formalisation and declarative programming methods -e.g., pertaining to space and motion- supporting query answering, relational learning, non-monotonic abductive inference, and embodied simulation. Here, we particularly demonstrate the integration of methods from knowledge representation and computer vision with a focus on reasoning & learning about space, action, and change. In the backdrop of areas as diverse as architecture design, cognitive film studies, cognitive robotics, and eye-tracking, this tutorial covers both applications and basic methods concerned with topics such as:
– explainable visual perception,
– semantic video understanding,
– language generation from video,
– declarative spatial reasoning, and
– computational models of narrative.
No special background needed; participants need only be generally interested in AI, Cognitive Science, or HCI. We especially encourage early doctoral researchers, and educators wanting to learn about general tools for logic-based reasoning about visual imagery.
The paper “Active Situation Reporting: Definition and Analysis” from Jennifer Renoux has been accepted for presentation at the EUMAS’17 conference which will be held the 14th and 15th of December at Evry, France.
See you there!
Pepper participated to Senior Festival on Saturday 7th October in Örebro Conventum Arena. He met with elderly people and interacted with them. We asked elderly people’s ideas and impressions about robots in eldercare.
Information about the event can be found on the following page:
Neziha Akalin participated 3rd Summer School on Social Human-Robot Interaction (https://hrisummerschool.org/), held in Vila Nova de Milfontes, Portugal, between the 4th and the 8th of September. The school offered to its students lectures and workshops covering different ranges of topics in social HRI.
The journal paper, titled “An Ontology-based Context-aware System for Smart Homes: E-care@home”, has been accepted in the Sensors journal, special issue “Context Aware Environments and Applications”.
The full article can be found at: http://www.mdpi.com/1424-8220/17/7/1586
MPI and the robot Pepper were at the Festival “Live at Heart”, Örebro’s biggest music festival. More information can be found (in Swedish) on Örebro University website:
Michael Sioutis presented the article “Towards a Synergy of Qualitative Spatio-Temporal Reasoning and Smart Environments for Assisting the Elderly at Home” (pdf) during the Qualitative Reasoning Workshop (QR2017) held at IJCAI 2017. He and Mehul Bhatt also attended the IJCAI conference.
The MPI Lab is now present on social medias. Follow us on Facebook at @aass.mpi.lab and on Twitter at @aass_mpi_lab.
The project Take Back the Night, lead by Franziska Klügl in the MPI team, got its press release today! The aim of this project is to improve users’ basic impression of being safe while walking around the Örebro University campus at night. An android application has been developed that shows in real-time the amount of persons in different locations of the campus. Check the ORU webpage for more information and the SVT regional news. To download the app, look in the Swedish Play Store for “Feeling safe @ ORU campus”.