Federated tool for anonymization and annotation in image data

The increasing complexity of security challenges requires Law Enforcement Agencies (LEAs) to have improved analysis capabilities, e.g., with the use of Artificial Intelligence (AI). However, it is challenging to make large enough high-quality training and testing datasets available to the community that is developing AI tools to support LEAs in...

Transitions to manual control from highly automated driving in non-critical truck platooning scenarios

Automated truck platooning is getting an increasing interest for its potentially beneficial effects on fuel consumption, driver workload, traffic flow efficiency, and safety. Nevertheless, one major challenge lies in the safe and comfortable transitions of control from the automated system back to the human drivers, especially when they have...

Rapid Annotation Tool to Train Novel Concept Detectors with Active Learning

Annotating a large set of images, especially with bounding boxes, is a tedious task. In this paper, we propose an intuitive image annotation tool. This tool not only allows (non-expert) users to annotate images with novel concepts, but is also able to achieve acceptable performance with a smaller number of annotated images. The tool can also...

Assessing e-mail intent and tasks in e-mail messages

In this paper, we analyze corporate e-mail messages as a medium to convey work tasks. Research indicates that categorization of e-mail could alleviate the common problem of information overload. Although e-mail clients provide possibilities of e-mail categorization, not many users spend effort on proper e-mail management. Since e-mail clients...

Effects of bodily mood expression of a robotic teacher on students

This paper reports our investigation into the effects of bodily mood expression of a humanoid robot in a scenario close to real life. To this end, we used the NAO robot to perform as a lecturer in a university class. To display either a positive or a negative mood, we modulated 41 co-verbal gestures by adjusting behavior parameters that control...

Mood Effects of a Robotic Teacher on Students: Bodily Mood Expression Makes a Difference in the Classroom

Real-time Classification of Gorilla Video Segments in Affective Categories Using Crowd-Sourced Annotations

In this contribution we present a method to classify segments of gorilla videos1 in different affective categories. The classification method is trained by crowd sourcing affective annotation. The trained classification then uses video features (computed from the video segments) to classify a new video segment into one of different affective...

Requirements for multimedia metadata schemes in surveillance applications for security

Surveillance for security requires communication between systems and humans, involves behavioural and multimedia research, and demands an objective benchmarking for the performance of system components.Metadata representation schemes are extremely important to facilitate (system) interoperability and to define ground truth annotations for...

Annotation of URLs: More than the sum of parts

Recently a number of studies have demonstrated that search engine logfiles are an important resource to determine the relevance relation between URLs and query terms. We hypothesized that the queries associated with a URL could also be presented as useful URL metadata in a search engine result list, e.g. for helping to determine the semantic...