Image Retrieval Based on Color-Statistic Feature
- https://doi.org/10.2991/isccca.2013.164How to use a DOI?
- color, change statistic, image retrieval
Color is the most widely used visual feature in content based image retrieval. The visual coherence color space, HSV, is adopted to represent image. Hue component is used to denote color. Hue difference statistic is proposed to extract color change information as supplement to color feature. The image is divided into sub images equally. Color and change information is extracted in each region. After feature vector clustering and coding, image content can be expressed as vector codes. The text based analysis technology is used for image retrieval. Experiments show that the proposed method can realize efficient retrieval for unconstrained scene images.
- © 2013, 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/).
Cite this article
TY - CONF AU - Jinmei Liu AU - Jizhong Li PY - 2013/02 DA - 2013/02 TI - Image Retrieval Based on Color-Statistic Feature BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013) PB - Atlantis Press SP - 655 EP - 658 SN - 1951-6851 UR - https://doi.org/10.2991/isccca.2013.164 DO - https://doi.org/10.2991/isccca.2013.164 ID - Liu2013/02 ER -