Improvised Salient Object Detection and Manipulation

TL;DR

This paper introduces a novel, efficient method for salient object detection and manipulation using segmentation maps to quickly identify and desaturate backgrounds, improving over traditional brute-force scanning methods.

Contribution

The paper presents a new approach that leverages segmentation maps for faster salient object detection and background manipulation, reducing reliance on exhaustive scanning.

Findings

Effective background desaturation demonstrated

Performance evaluated with Jaccard index

Outperforms traditional brute-force methods

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 desaturate 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.