In this work we deal with the problem of how different local descriptors can be extended, used and combined for improving the effectiveness of video concept detection. The main c...
Fotini Markatopoulou, Nikiforos Pittaras, Olga Pap...
Abstract. As of very recently, we have observed a convergence of technologies that have led to the emergence of lifelogging as potentially pervasive technology with many real-world...
Lijuan Marissa Zhou, Brian Moynagh, Liting Zhou, T...
In this paper we propose the Keyframe Navigation Tree (KNT) as navigational aid in video for interactive search. The KNT is a hierarchical visualization of keyframes that can compa...
Event detection in social media platforms has become an important task. It facilities exploration and browsing of events with early plans for preventive measures. The main challeng...
The availability of large annotated visual resources, such as ImageNet, recently led to important advances in image mining tasks. However, the manual annotation of such resources ...
Multimodal learning, as an effective method for helping students to understand complex concepts, has attracted much research interest recently. Using more than one media in the lea...
Subhasree Basu, Roger Zimmermann, Kay L. O'Hallora...
Human visual attention can be modulated not only by visual stimuli but also by ones from other modalities such as audition. Hence, incorporating auditory information into a human v...
Abstract. This paper introduces the IMOTION system, a contentbased video retrieval engine, which is our proposed contribution for the 2015 Video Search Showcase. IMOTION is based o...
Luca Rossetto, Ivan Giangreco, Heiko Schuldt, St&e...
This paper addresses the problem of fast Human Activity Recognition (HAR) in visual lifelogging. We identify the importance of visual features related to HAR and we specifically e...
Abstract. Automatic concept detection is a crucial aspect of automatically indexing unstructured multimedia archives. However, the current prevalence of one-per-class detectors neg...