Object
Title: Object Color Estimation with Dominant Color in Automated Image Semantic Description Generation Tasks
Abstract:
The automated image tagging is an important part of modern search engines. The generated image tags can be constructed from object names and their attributes, for example, colors. This work presents an object color name detection real-time algorithm. It is applicable to any automatic object detection and localization systems. The presented algorithm is fast enough to run after the existing real-time object detection system, without adding visible overhead. The algorithm uses k-means to detect the dominant color and selects the correct name for the color via Delta E (CIE 2000).
Publisher:
"GITUTYUN" PUBLISHING HOUSE OF NAS RA
Date of publication:
Identifier:
oai:noad.sci.am:136215
DOI:
Language:
Journal or Publication Title:
Mathematical Problems of Computer Science
Volume:
URL:
Affiliation:
Institute for Informatics and Automation Problems of NAS RA
Country:
Year:
Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Publications
Last modified:
May 3, 2021
In our library since:
Apr 30, 2021
Number of object content hits:
35
All available object's versions:
https://noad.sci.am/publication/149780
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Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| Poghosyan Aghasi, Object Color Estimation with Dominant Color in Automated Image Semantic Description Generation Tasks | May 3, 2021 |
