Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aim...
In this paper we focus on a novel issue in the field of video retrieval stemming from film analysis, namely the investigation of film montage patterns. For this purpose it is ...
Maia Zaharieva, Matthias Zeppelzauer, Christian Br...
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
In this paper, we propose a new image-based algorithm to identify where a tourist is when visiting unfamiliar places. When the tourist takes a photo of an unfamiliar place, our alg...
In this paper, we introduce and evaluate two novel approaches, one using video stream and the other using close-caption text stream, for segmenting TV news into stories. The segmen...
Hemant Misra, Frank Hopfgartner, Anuj Goyal, P. Pu...
Object tracking is commonly used in video surveillance, but typically video with full frame rate is sent. We previously have shown that full frame rate is not needed, but it is unc...
Abstract. Understanding player distributions, sessions, and movements in a Massively Multiplayer Online Role-Playing Game (MMORPG) is essential for research in scalable architectur...
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
This paper presents an approach to affective video summarization based on the facial expressions (FX) of viewers. A facial expression recognition system was deployed to capture a v...
Hideo Joho, Joemon M. Jose, Roberto Valenti, Nicu ...
Welcome to Learning and Vision Research Group at the Department of Electrical and Computer Engineering, National University of Singapore!