Inferring Visual Perceptual Object by Adaptive Fusion of Image Salient Features

Joint Authors

Xu, Xin
Mu, Nan
Zhang, Hong

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-08-27

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

Saliency computational model with active environment perception can be useful for many applications including image retrieval, object recognition, and image segmentation.

Previous work on bottom-up saliency computation typically relies on hand-crafted low-level image features.

However, the adaptation of saliency computational model towards different kinds of scenes remains a challenge.

For a low-level image feature, it can contribute greatly on some images but may be detrimental for saliency computation on other images.

In this work, a novel data driven approach is proposed to adaptively select proper features for different kinds of images.

This method exploits low-level features containing the most distinguishable salient information per image.

Then the image saliency can be calculated based on the adaptive weight selection scheme.

A large number of experiments are conducted on the MSRA database to compare the performance of the proposed method with the state-of-the-art saliency computational models.

American Psychological Association (APA)

Xu, Xin& Mu, Nan& Zhang, Hong. 2015. Inferring Visual Perceptual Object by Adaptive Fusion of Image Salient Features. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075226

Modern Language Association (MLA)

Xu, Xin…[et al.]. Inferring Visual Perceptual Object by Adaptive Fusion of Image Salient Features. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1075226

American Medical Association (AMA)

Xu, Xin& Mu, Nan& Zhang, Hong. Inferring Visual Perceptual Object by Adaptive Fusion of Image Salient Features. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075226

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1075226