@inproceedings{26e770e37c5749188c570b7cbccf4773,
title = "Reducing computation for vector quantization by using bit-mapped look-up table",
abstract = "Vector quantization (VQ) is an elementary technique for image compression. However, searching for the nearest codeword in a codebook is time-consuming. In this work, we propose an adaptive scheme {"}Bit-mapped Look-Up Table{"} (BLUT) which can prune codewords rapidly. This new scheme uses a positional information to represent the geometric relation within codewords. Accordingly, the lookup procedure could refer the information to sift candidate codewords easily. This scheme might also cooperate with existing schemes to fasten search speed. Simulation results confirm this effectiveness.",
keywords = "Image compression, Look-up table, Nearest neighbor search, Vector quantization",
author = "Chen, {Rong Chang} and Chan, {Chia Tai} and Wang, {Pi Chung} and Chen, {Tung Shou} and Chang, {Hung Yi}",
year = "2004",
month = mar,
doi = "10.1109/ICNSC.2004.1297123",
language = "English",
isbn = "0780381939",
series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",
pages = "1229--1234",
booktitle = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control",
note = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control ; Conference date: 21-03-2004 Through 23-03-2004",
}