@inproceedings{krishna2013video, type = {inproceedings}, key = {krishna2013video}, title = {Video Segmentation by Event Detection: A Novel One-class Classification Approach}, author = {Mahesh Venkata Krishna and Paul Bodesheim and Joachim Denzler}, booktitle = {4th International Workshop on Image Mining. Theory and Applications (IMTA-4)}, year = {2013}, abstract = {Segmenting videos into meaningful image sequences of some particular activities is an interesting problem in computer vision. In this paper, a novelalgorithm is presented to achieve this semantic video segmentation. The goal is to make the system work unsupervised and generic in terms of application scenar-ios. The segmentation task is accomplished through event detection in a frame-by-frame processing setup. For event detection, we use a one-class classificationapproach based on Gaussian processes, which has been proved to be successful in object classification. The algorithm is tested on videos from a publicly avail-able change detection database and the results clearly show the suitability of our approach for the task of video segmentation.}, }