Improvised Salient Object Detection and Manipulation
In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be quite time consuming. Here a novel approach a...
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Published in | International journal of image, graphics and signal processing Vol. 8; no. 2; pp. 53 - 60 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Hong Kong
Modern Education and Computer Science Press
08.02.2016
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Online Access | Get full text |
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Abstract | In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be quite time consuming. Here a novel approach and a simple solution to the above problem is discussed. In this paper, we implement an approach to object manipulation and detection through segmentation map, which would help to de-saturate or, in other words, wash out the background of the image. Evaluation for the performance is carried out using the Jaccard index against the well-known Ground-truth target box technique. |
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AbstractList | In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be quite time consuming. Here a novel approach and a simple solution to the above problem is discussed. In this paper, we implement an approach to object manipulation and detection through segmentation map, which would help to de-saturate or, in other words, wash out the background of the image. Evaluation for the performance is carried out using the Jaccard index against the well-known Ground-truth target box technique. |
Author | Maity, Abhishek |
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Copyright | Copyright Modern Education and Computer Science Press Feb 2016 |
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CorporateAuthor | Department of Computer Science and Engineering, Guru Nanak Institute of Technology, India |
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