Bottom-up saliency estimation using sparse representation and structural redundancy reduction
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| 003 | CHVBK | ||
| 005 | 20210128100130.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-2144-6 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-2144-6 | ||
| 245 | 0 | 0 | |a Bottom-up saliency estimation using sparse representation and structural redundancy reduction |h [Elektronische Daten] |c [Yan Long, DongJian He, Huaibo Song] |
| 520 | 3 | |a As we all know that image saliency estimation is an important technique in many computer vision applications. We study bottom-up saliency estimation method based on sparse representation and structural redundancy reduction. Firstly, we learn a set of basis functions using independent component analysis on a large set of natural images and obtain image sparse coefficients. Secondly, we compute the Shannon entropy of the image sparse coefficients to represent its pixels information which build up the image information map. Finally, we discard the structural redundancy of the information map to yield the image saliency map. The performance of the proposed model is studied on natural scenes and psychophysical patterns, and evaluated with ground-truth data. The evaluation proves that the proposed model is highly consistent with the subjective visual attention. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a Saliency estimation |2 nationallicence | |
| 690 | 7 | |a Non-local means |2 nationallicence | |
| 690 | 7 | |a Sparse representation |2 nationallicence | |
| 690 | 7 | |a Redundancy reduction |2 nationallicence | |
| 700 | 1 | |a Long |D Yan |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | |
| 700 | 1 | |a He |D DongJian |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | |
| 700 | 1 | |a Song |D Huaibo |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9647-9663 |x 1380-7501 |q 74:21<9647 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-2144-6 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-2144-6 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Long |D Yan |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a He |D DongJian |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Song |D Huaibo |u College of Mechanical and Electronic Engineering, Northwest A&F University, 712100, Yangling Shaanxi, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/21(2015-11-01), 9647-9663 |x 1380-7501 |q 74:21<9647 |1 2015 |2 74 |o 11042 | ||