@inproceedings{e8b199a74cff4c6ea7950f1f76a5af8d,
title = "TrCollage: Efficient image collage using tree-based layer reordering",
abstract = "This paper proposes an efficient image collage approach called TrCollage using tree-based layer reordering, which takes into account not only the efficiency of the collage processing but also the quality of the final collage effects. Besides, our tree-based TrCollage also meets the enhanced demands from the rapid development of mobile technology, which call for robust solutions for efficient picture collage without computation-intensive processing, e.g. graph-cut, saliency detection. The experimental results have shown the efficiency and effectiveness of our tree-based TrCollage with high-quality image collage effects applying layer reordering.",
keywords = "Image collage, Layer reordering, Mobile graphics, Tree",
author = "Shiguang Liu and Xiaobing Wang and Ping Li and Junyong Noh",
year = "2017",
month = oct,
doi = "10.1109/ICVRV.2017.00120",
language = "English",
series = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "454--455",
booktitle = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
note = "7th International Conference on Virtual Reality and Visualization, ICVRV 2017 ; Conference date: 21-10-2017 Through 22-10-2017",
}