Content-based Multi-media Retrieval Technology

TL;DR

This paper reviews content-based multimedia retrieval techniques, focusing on image and audio retrieval methods that utilize feature extraction to find similar media data across various formats.

Contribution

It provides a comprehensive summary of content-based retrieval methods for images and audio, highlighting their ability to handle both discrete and continuous media.

Findings

Content-based retrieval works on images, audio, and video.

Feature extraction is central to matching similar media.

Applicable to both discrete and continuous media.

Abstract

This paper gives a summary of the content-based Image Retrieval and Content-based Audio Retrieval, which are two parts of the Content-based Retrieval. Content-based Retrieval is the retrieval based on the features of the content. Generally, it is a way to extract features of the media data and find other data with the similar features from the database automatically. Content-based Retrieval can not only work on discrete media like texts, but also can be used on continuous media, such as video and audio.