A Framework for Picture Extraction on Search Engine Improved and Meaningful Result

TL;DR

This paper proposes a framework to improve picture retrieval in search engines, aiming for faster, more accurate, and meaningful image results to enhance user experience and learning.

Contribution

It introduces a resource identification framework for efficient image retrieval and discusses new challenges and design techniques in picture search systems.

Findings

Enhanced retrieval speed and accuracy for images

Analysis of scenario changes from text to picture retrieval

Proposed design techniques for improved image search

Abstract

Searching is an important tool of information gathering, if information is in the form of picture than it play a major role to take quick action and easy to memorize. This is a human tendency to retain more picture than text. The complexity and the occurrence of variety of query can give variation in result and provide the humans to learn something new or get confused. This paper presents a development of a framework that will focus on recourse identification for the user so that they can get faster access with accurate & concise results on time and analysis of the change that is evident as the scenario changes from text to picture retrieval. This paper also provides a glimpse how to get accurate picture information in advance and extended technologies searching framework. The new challenges and design techniques of picture retrieval systems are also suggested in this paper.