Please use this identifier to cite or link to this item: http://digitalrepository.fccollege.edu.pk/handle/123456789/2639
Title: Emotional Understanding of an Image by Applying High-level Concepts on Image Parts
Authors: Nasim, Sharoon
Rehan, Mahnoor
Sabahat, Nosheen
Issue Date: Nov-2020
Publisher: researchgate.net
Citation: Nasim, Sharoon & Rehan, Mahnoor & Sabahat, Nosheen. (2020). Emotional Understanding of an Image by Applying High-level Concepts on Image Parts. 1-5. 10.1109/INMIC50486.2020.9318049.
Abstract: This paper is the outcome of the research that has been conducted to investigate the relationship of applying High- Level Concepts (HLC) on a complete image and applying it along with its different parts. The implementation of technique includes the images that are divided into subparts followed by focusing on each part individually. To conclude our results, we combined the outcome of our mechanism and compared the results with the previous work. We have applied the object detection HLC on parts of an Image along with entire image. We also compared our results with previous findings and come up with the discovery of our results that have performed better than previously known work.
Description: This paper is the outcome of the research that has been conducted to investigate the relationship of applying High- Level Concepts (HLC) on a complete image and applying it along with its different parts. The implementation of technique includes the images that are divided into subparts followed by focusing on each part individually. To conclude our results, we combined the outcome of our mechanism and compared the results with the previous work. We have applied the object detection HLC on parts of an Image along with entire image. We also compared our results with previous findings and come up with the discovery of our results that have performed better than previously known work.
URI: http://digitalrepository.fccollege.edu.pk/handle/123456789/2639
Appears in Collections:Computer Science Department

Files in This Item:
File Description SizeFormat 
nasim2020[1].pdf485.08 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.