NDLI: An improved saliency detection method based on non-uniform quantification and channel-weighted color distance

Content Provider	Springer Nature Link
Author	Han, Aili Han, Feilin Hao, Jing Yuan, Yahui
Copyright Year	2016
Abstract	We propose a non-uniform quantification method for RGB channels based on the visual sensitivities of human eyes to the red, green and blue colors, and give weights to RGB channels which are used to compute the channel-weighted color distances. Furthermore, we design a saliency detection method using the non-uniform quantification method and the channel-weighted color distances measurement. We first quantify the values in RGB channels in different step-lengths and determine the weights w $_{ r }$, w $_{ g }$ and w $_{ b }$ based on the visual sensitivities of human eyes to the three-primary colors. And then we convert the quantified image into that in Lab color space, which are segmented into some regions, and compute the channel-weighted color distance using the weights w $_{ L }$, w $_{ a }$ and w $_{ b }$, which are computed from the weights w $_{ r }$, w $_{ g }$ and w $_{ b }$ and the transformation from RGB color space to Lab color space. The saliency of each region is computed using the weighted distances and spatial weights. The proposed non-uniform quantification method and the channel-weighted color distance measurement can be used for the applications based on color features in the field of image processing and computer vision. Experimental results show that our methods can improve the efficiency and performance of saliency detection to some extent.
Starting Page	11037
Ending Page	11050
Page Count	14
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	76
Issue Number	8
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2016-07-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Saliency detection Visual computing Non-uniform quantification Channel weight Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color boosted visual saliency detection and its application to image classification

Visual saliency detection based on multi-scale and multi-channel mean

Detection of saliency maximally stable color regions

3D visual saliency detection model with generated disparity map

Visual saliency based on frequency domain analysis and spatial information

Editorial Note: Visual Saliency Computations and Applications

Hierarchical salient object detection model using contrast-based saliency and color spatial distribution

Exploiting visual saliency for increasing diversity of image retrieval results

How important is location information in saliency detection of natural images

An improved saliency detection method based on non-uniform quantification and channel-weighted color distance

Similar Documents

Color boosted visual saliency detection and its application to image classification

Visual saliency detection based on multi-scale and multi-channel mean

Detection of saliency maximally stable color regions

3D visual saliency detection model with generated disparity map

Visual saliency based on frequency domain analysis and spatial information

Editorial Note: Visual Saliency Computations and Applications

Hierarchical salient object detection model using contrast-based saliency and color spatial distribution

Exploiting visual saliency for increasing diversity of image retrieval results

How important is location information in saliency detection of natural images

An improved saliency detection method based on non-uniform quantification and channel-weighted color distance