@inproceedings{cc424b0e5aff417390cc7cf361ae6a35,
title = "Auto-scaled incremental tensor subspace learning for region based rate control application",
abstract = "In this paper, we proposed a method that employs the auto-scaled incremental eigenspace learning to locate the salient distortion areas continually in the video to serve the purpose of region based rate control application. Compared to other locating methods, the auto-scaled incremental eigenspace learning locating method can achieve locating the salient distortion areas robustly and accurately, and specifically in real-time. In addition, for the case that there exists the overlap/occlusion between different salient distortion areas, the proposed method can also obtain accurate location information which could make the region based rate control and bit allocation to reach higher efficiency in many applications. The experiment results of the proposed algorithm demonstrate the subject visual quality of the video has been improved greatly.",
keywords = "Incremental tensor subspace, Region based, Tracking",
author = "Peng Zhang and Sabu Emmanuel and Yanning Zhang and Xuan Jing",
year = "2010",
doi = "10.1007/978-3-642-12297-2\_52",
language = "英语",
isbn = "3642122965",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "538--547",
booktitle = "Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers",
edition = "PART 3",
}