Content-based retrieval algorithm for multimedia databases

Abstract

This paper presents a content-based retrieval algorithm which can be used for information retrieval in multimedia databases. This retrieval mechanism is developed on top of a novel multimedia object model called MAD. It is a six-step iterative process and has the following stages: formulation of query-by-example queries (using logical connectives), query interpretation, query modification (extension/reduction), matching, visualization and choice, and query reformulation. Each step is characterized by various specific parameters that are used to improve the accuracy of query results. User support is necessary in order to improve the retrieval performance. Content-based retrieval parameterized mechanisms with user support, within the context of an appropriate retrieval strategy, offer, in our view, the best solution to increased need for accuracy and flexibility of user queries. This is even truer in multimedia databases where the content of media objects is more significant to users than some attributes or metadata established by the database designer. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/10854