@inproceedings{14479198c63840d0ba9160a6135221e3,
title = "Conditional random fields for image region labeling with global observation",
abstract = "Region (pixel) labeling has attracted increasing attentions from both research and industry communities. In this paper, we present a new approach based on Conditional Random Fields (CRF) to assign the semantic labels to the corresponding regions of images. Different from previous work, our model incorporates the global observation into the region labeling framework with the harness of spatial context modeling of CRF model. The experimental results with two commonly used datasets demonstrate that our method achieves significant improvement on region labeling tasks compared with the strong baselines.",
keywords = "Conditional random fields, Global observation, Image annotation, Image region labeling",
author = "Zhe Lin and Wen Chan and Kai He and Xiangdong Zhou and Mei Wang",
year = "2013",
doi = "10.1007/978-3-319-03731-8_54",
language = "English",
isbn = "9783319037301",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "586--597",
booktitle = "Advances in Multimedia Information Processing, PCM 2013 - 14th Pacific-Rim Conference on Multimedia, Proceedings",
note = "14th Pacific-Rim Conference on Multimedia, PCM 2013 ; Conference date: 13-12-2013 Through 16-12-2013",
}