@inproceedings{Krishna13:VSB,
    type = {inproceedings},
    key = {Krishna13:VSB},
    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 novel algorithm 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 classification approach 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.},
}