Content-Based Multimedia Information Retrieval for Unstructured Data

Abstract

The Internet is a huge collection of data that is highly unstructured which makes it extremely difficult to search and retrieve valuable information. Due to the massive number of unstructured data, multimedia search engines that search and rank them based on their relevance to user queries become essential for information seeking. In other words, high search efficiency is one of the key design and implementation objectives of multimedia search engines. In this paper, we propose efficient indexing and search system for unstructured data by combining text-based information retrieval and content-based information retrieval methods.