Content-based Multi-media Retrieval Technology
It provides an overview of retrieval technology for multimedia data, but is incremental as it summarizes existing methods without introducing new approaches.
The paper summarizes content-based image and audio retrieval, which involves extracting features from media data to automatically find similar items in a database, applicable to both discrete and continuous media.
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.