Incremental Compression for Image Database

DOI

10.2991/iceeecs-16.2016.125How to use a DOI?

Keywords

incremental image; compression; image database; classify

Abstract

Image databases obtain the incremental images frequently. However in tradition it is directly compressed to the incremental image, which ignores the redundancy and similarity between images. The general compression way is not satisfied. With an increasing number of compression method proposed, we proposed a method called incremental image compressing method aiming to this question, which is to make the best of the redundancy and similarity between image database and incremental image. Firstly, we tried to classify the incremental image, then seek the most similar image in the class as the reference image, and encode the incremental image using the redundancy and similarity. Simulations test shows the compression results are obviously improved, so the proposed method is superior to traditional compression methods.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Xi Yin
AU  - Weiqing Huang
PY  - 2016/12
DA  - 2016/12
TI  - Incremental Compression for Image Database
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 628
EP  - 632
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.125
DO  - 10.2991/iceeecs-16.2016.125
ID  - Yin2016/12
ER  -