Saliency location based on color contrast

Suchat Vijanprecha; Pakaket Wattuya

doi:10.1117/12.2064429

16 April 2014 Saliency location based on color contrast

Suchat Vijanprecha, Pakaket Wattuya

Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591O (2014) https://doi.org/10.1117/12.2064429
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece

Abstract

Generally, the purpose of saliency detection models for saliency object detection and for fixation prediction is complementary. Saliency detection models for saliency object detection aim to discover as much as possible true positive, while saliency detection models for fixation prediction intend to generate few false positive. In this work, we attempt to combine their strength together. We accomplish this by, firstly, replacing high-level features that frequently used in a fixation prediction model with our new saliency location map in order to make the model more general. Secondly, we train a saliency detection model with human eye tracking data in order to make the model correspond well to the human eye fixation (without the use of top-down attention). We evaluate the performance of our new saliency location map on both saliency detection and fixation prediction datasets in comparison with six state-of-the-art saliency detection models. The experimental results show that the performance of our proposed method is superior to other methods in an application of saliency object detection on MSRA dataset [1]. For fixation prediction application, the results show that our saliency location map performs comparable to the high-level features, but requires much less computation time.

Citation Download Citation

Suchat Vijanprecha and Pakaket Wattuya "Saliency location based on color contrast", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591O (16 April 2014); https://doi.org/10.1117/12.2064429

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Data modeling

Eye models

Eye

Performance modeling

Image segmentation

RGB color model

Visual process modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years