A hybrid approach using color spatial variance and novel object position prior for salient object detection

Vivek Kumar Singh; Nitin Kumar; Navjot Singh

doi:10.1007/s11042-020-09467-4

ScienceGate Book Chapters

JOURNAL ARTICLE

A hybrid approach using color spatial variance and novel object position prior for salient object detection

Vivek Kumar Singh Nitin Kumar Navjot Singh

Year: 2020 Journal: Multimedia Tools and Applications Vol: 79 (39-40)Pages: 30045-30067 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-020-09467-4

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Mixture model Computation Pattern recognition (psychology) Object detection Cluster analysis Position (finance) Pascal (unit) Computer vision Algorithm

Metrics

Cited By

0.42

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A hybrid approach using color spatial variance and novel object position prior for salient object detection

Metrics

Citation History

Topics

Related Documents

Spatial variance of color and boundary statistics for salient object detection

A novel superpixel based color spatial feature for salient object detection

Accurate and Efficient Salient Object Detection Via Position Prior Attention

Accurate and efficient salient object detection via position prior attention

Prior fusion based salient object detection