Many universities around the world have started or will start to offer subjects related to multimedia technology and MMDBMSs. This book is intended for the following groups of readers: University students at senior levels and postgraduate students. Finally, we briefly describe current products, application development, and other issues such as security and standardization. Thus we also discuss performance measurement issues in MMDBMSs. Since it is difficult to extract all features of multimedia items and design a similarity metric that exactly conforms to human judgment, it is likely that some items determined as relevant by the system are actually judged irrelevant by the user and some relevant items are not retrieved. This is because MMDBMSs retrieve items based on similarity measured using a similarity metric instead of exact match. In addition, retrieval effectiveness (ability to retrieve relevant items and ability to reject irrelevant items) becomes important. In multimedia database management systems (MMDBMSs), efficiency is important too. In traditional DBMSs, the main performance concern is efficiency (how long it takes to answer a query). We describe computer architecture, multimedia storage, operating system, and networking support to meet these requirements. A set of requirements involving factors including delay and delay jitter, called quality of service, must be met to achieve multimedia presentation in a smooth and timely fashion. Multimedia objects identified as relevant to the query must be retrieved from the server and transmitted to the client for presentation. Multimedia databases are usually accessed remotely oyer a network. We discuss various techniques and data structures so that the search and retrieval can be carried out efficiently. Since the features extracted from raw media data are usually represented by multidimensional vectors, it would be very time-consuming to calculate the similarity between the query feature vector and the feature vector of each of the stored items.
MULTIMEDIA DATABASE MANAGEMENT SYSTEM PDF HOW TO
As multiple media types usually appear together in multimedia objects or documents and different techniques capture different features or contents of them, we discuss how to integrate various indexing and retrieval techniques for effective retrieval of multimedia documents. The commonality among these techniques is that they all try to extract main features from raw media data, and then try to retrieve items relevant to the user's query based on the similarity or the distance between the extracted feature vectors of the stored items and the query. We discuss techniques for the indexing and retrieval of text documents, audio, images, and video. It then describes general design issues of multimedia database management systems to meet these characteristics and requirements. It starts with a discussion on the main characteristics and requirements of multimedia data. This book provides comprehensive coverage on issues and current technologies in multimedia database management. Thus new multimedia indexing and retrieval techniques are required. Due to the differences between the characteristics and requirements of alphanumeric data and multimedia data, a traditional DBMS is not capable of effectively handling multimedia data. This led to the development of database management systems (DBMSs), which are now one of the most popular computer applications and are used in almost every organization. A similar situation happened about thirty years ago when more and more alphanumeric data were stored in computer-readable form. Since more and more digital multimedia data in the forms of image, video, and audio are being captured and stored, the focus has shifted in last few years to efficient and effective storage and retrieval of multimedia information. A few years ago, the main focus in multimedia research and development was on multimedia communications and multimedia authoring and presentation.
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