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:

2019-06-15

Identifier:

oai:noad.sci.am:136215

DOI:

10.51408/1963-0036

Language:

English

Journal or Publication Title:

Mathematical Problems of Computer Science

Volume:

51

URL:

click here to follow the link

Affiliation:

Institute for Informatics and Automation Problems of NAS RA

Country:

Armenia

Year:

2019

Object collections:

Last modified:

May 3, 2021

In our library since:

Apr 30, 2021

Number of object content hits:

13

All available object's versions:

https://noad.sci.am/publication/149780

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