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Title: :  AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION
PaperId: :  12116
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 3 2020
DUI:    16.0415/IJARIIE-12116
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Paul P MathaiFederal Institute of Science and Technology, Kerala
Ierin BabuAdi Shankara Institute of Engineering and Technology, Kerala
Sreelakshmi SFederal Institute of Science and Technology, Kerala

Abstract

Computer Engineering
Co-saliency, salient region, cues, co-segmentation, super pixels
Human eye is perceptually more sensitive to certain colors and intensities and objects with such features are considered more salient. Co-saliency is a term for common visual attention point. Co-saliency detection aims at discovering the common salient objects existing in multiple images, which is a relatively under-explored area. Most existing methods combine multiple saliency cues based on fixed weights, and ignore the intrinsic relationship of these cues. In this paper, it proposes a method for finding salient region for single image, and co-salient region for pair of images as well as multiple images. And it provide a general saliency map fusion framework, which exploits the relationship of multiple saliency cues and obtains the self-adaptive weight to generate the final saliency/co-saliency map. Previous methods sometimes inaccurately predict the background as common salient object in case of complex images. The feature representation of the co-salient regions should be both similar and consistent. Therefore, the matrix jointing these feature histograms appears low rank. By considering the low-rank matrix of features, which defines the independence of the features of the co-salient region, it can find energy. This energy will further use to determine the co-saliency map. It helps to determine the co-salient map for complex images efficiently. Detection of Co-salient image regions is useful in applications such as co-segmentation, common pattern discovery, co-recognition, Image retrieval etc.

Citations

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IJARIIE Paul P Mathai, Ierin Babu, and Sreelakshmi S. "AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 3 2020 Page 1064-1076
MLA Paul P Mathai, Ierin Babu, and Sreelakshmi S. "AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 6.3(2020) : 1064-1076.
APA Paul P Mathai, Ierin Babu, & Sreelakshmi S. (2020). AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 6(3), 1064-1076.
Chicago Paul P Mathai, Ierin Babu, and Sreelakshmi S. "AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 3 (2020) : 1064-1076.
Oxford Paul P Mathai, Ierin Babu, and Sreelakshmi S. 'AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 3, 2020, p. 1064-1076. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_ENHANCED_FUSION_BASED_REGION_SELECTION_FOR_CO_SALIENT_DETECTION_ijariie12116_converted.pdf (Accessed : ).
Harvard Paul P Mathai, Ierin Babu, and Sreelakshmi S. (2020) 'AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 6(3), pp. 1064-1076IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_ENHANCED_FUSION_BASED_REGION_SELECTION_FOR_CO_SALIENT_DETECTION_ijariie12116_converted.pdf (Accessed : )
IEEE Paul P Mathai, Ierin Babu, and Sreelakshmi S, "AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 3, pp. 1064-1076, May-Jun 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_ENHANCED_FUSION_BASED_REGION_SELECTION_FOR_CO_SALIENT_DETECTION_ijariie12116_converted.pdf [Accessed : ].
Turabian Paul P Mathai, Ierin Babu, and Sreelakshmi S. "AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 3 ().
Vancouver Paul P Mathai, Ierin Babu, and Sreelakshmi S. AN ENHANCED FUSION BASED REGION SELECTION FOR CO-SALIENT DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : ]; 6(3) : 1064-1076. Available from: https://ijariie.com/AdminUploadPdf/AN_ENHANCED_FUSION_BASED_REGION_SELECTION_FOR_CO_SALIENT_DETECTION_ijariie12116_converted.pdf
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