Web Information Retrievals: An Excellent Image Portal with Automated Hidden Tag to Image

Abstract

The main goal of our research is to invent a new Web Image Search Portal with more innovation. We aim to search and retrieve the matched images from the uploaded online images with the help of Auto hidden tag method using the RANSAC algorithm through Open Computer Vision. We implemented a new system using the object detection process in an image using the openCV technique. When a user posting their images, if they forget to comment on all the objects present in the image also our proposed system will detect all the object present in the image using object detection algorithm, then this object will be extracted from the image and recognized with large dataset by using RANSAC algorithm. This system will be very useful to the end user in required image retrieval process, even images which are not labeled or tagged by the upload user also retrieved in this system. Auto hidden tagging process with visual feature extraction and the comparison is the main technique used in this system.