@inproceedings{b315b034453d48aba1c95b91caeb1bc7,
title = "Multi-class semantic video segmentation with exemplar-based object reasoning",
abstract = "We tackle the problem of semantic segmentation of dynamic scene in video sequences. We propose to incorporate foreground object information into pixel labeling by jointly reasoning semantic labels of super-voxels, object instance tracks and geometric relations between objects. We take an exemplar approach to object modeling by using a small set of object annotations and exploring the temporal consistency of object motion. After generating a set of moving object hypotheses, we design a CRF framework that jointly models the super voxel and object instances. The optimal semantic labeling is inferred by the MAP estimation of the model, which is solved by a single move-making based optimization procedure. We demonstrate the effectiveness of our method on three public datasets and show that our model can achieve superior or comparable results than the state of-the-art with less object-level supervision.",
author = "Buyu Liu and Xuming He and Stephen Gould",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 ; Conference date: 05-01-2015 Through 09-01-2015",
year = "2015",
month = feb,
day = "19",
doi = "10.1109/WACV.2015.140",
language = "English",
series = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1014--1021",
booktitle = "Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015",
address = "United States",
}