@inproceedings{a4b2b7cade784f94b03ae870f7807dbf,
title = "Image segmentation using linked mean-shift vectors for SIMD architecture",
abstract = "This paper presents a new mean-shift based segmentation algorithm for single instruction multiple data (SIMD) architecture. A standard mean-shift algorithm has different number of computations for each pixel because the endpoints of each pixel's iteration process are different, thus a standard mean-shift algorithm is hard to be accelerated using SIMD architecture. The proposed algorithm, however, equalizes the number of computations for each pixel by constructing links between pixels using their first mean-shift vectors without iteration process. It makes the proposed algorithm more suitable for the SIMD architecture without a complicated scheduling module. Experimental results using the Berkeley segmentation dataset show the proposed algorithm successfully equalizes the number of computations with reasonable segmentation quality.",
author = "Hanjoo Cho and Cho, {Sung In} and Kim, {Young Hwan}",
year = "2014",
doi = "10.1109/ICCE.2014.6776096",
language = "English",
isbn = "9781479912919",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "484--485",
booktitle = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014",
address = "United States",
note = "2014 IEEE International Conference on Consumer Electronics, ICCE 2014 ; Conference date: 10-01-2014 Through 13-01-2014",
}