Multimedia database

About: Multimedia database is a research topic. Over the lifetime, 1404 publications have been published within this topic receiving 19856 citations. The topic is also known as: Multimedia database & MMDB.

Multimedia database for use over networks

Abstract: Disclosed is a multimedia database for use in distributed network environments. A query processing module transforms user queries into search transformations that can be used for indexing; an attentional selection module records salient information represented in images by a hierarchy of feature maps, saliency maps and combined saliency maps; a declarative memory comprises active modules that update the representations acquired over time for the same images, as well as across images, to cluster, categorize and organize information extracted from different images by the attentional selection module; and an indexing mechanism utilizes the search transformations from the query processing module to search the declarative memory for an answer to a user query. The multimedia database is used in distributed network environments wherein a server can select and coordinate information flow between multiple database sites and user sites, provide effective multimedia representation, create indexes on multimedia content of said database sites to derive a set of target multimedia database sites and, enable database queries descriptions and final search results to be conveyed to a user, records information needed for database selection, generates useful query patterns based on memorization of responses patterns from various databases based on user queries, and directs interactive dialogue between a user and multimedia databases.

Metadata processes for multimedia database access

Abstract: A system is described in which a media browser ( 101 ), operating as a software application on a user terminal or preferably a server for a number of users, provides a user with a single user interface that facilitates browsing and searching different metadata collections over the Internet ( 102 ). A metadata server ( 212 ) is associated with each of the metadata collections. When the metadata server ( 212 ) receives a request from the media browser ( 101 ), the metadata server ( 212 ) interprets the request and replies with a description that satisfies the request and according to a predetermined scheme. The description contains at least one link which represents a return link which represents a return request to the metadata server ( 212 ). Specifically disclosed are methods of forming a table of contents for a particular user preferably based upon media reproduction attributes, methods of right to use and quality of service control, graphical user interfaces for facilitating the browsing process, methods of interpreting metadata, methods of communicating metadata between users, and method for transferring media sessions between users.

Principles of Multimedia Database Systems

Abstract: Preface Part I: PRELIMINARIES Chapter 1 Introduction 1.1 Plan of the Book 1.2 Sample Multimedia Scenario 1.3 Other Applications Chapter 2 A Quick Overview of Relational Databases 2.1 Relational Algebra 2.2 Relational Calculus Chapter 3 A Quick Introduction to Object Oriented Databases 3.1 Objects and Values 3.2 Types and Classes 3.3 Methods 3.4 Object Definition and Query Languages 3.5 Object-Relational Systems Part II: ORGANIZING MULTIMEDIA CONTENT Chapter 4 Other Relevant Data Structures 4.1 k-D Treas 4.2 Point Quadtrees 4.3 The MX-Quadtree 4.4 R-Trees Chapter 5 Image Databases 5.1 What is Querying by Image Content 5.2 Representing Image DBs with Relations 5.3 Representing Image DBs using Image Transformations 5.4 Similarity Based Retrieval 5.5 Image Processing: Segmentation 5.6 Retrieving Images by Spatial Layout 5.7 Implementations Chapter 6 Text/Document Databases 6.1 Precision and Recall 6.2 Stop Lists, Word Stems, and Frequency Tables 6.3 Latent Semantic Indexing: The Basic Idea 6.4 LSI: Background on Singular Valued Decompositions 6.5 LSI: Document Retrieval using SVDs 6.6 TV-Trees 6.7 Other Retrieval Techniques Chapter 7 Video Databases 7.1 Organizing Content of a Single Video 7.2 Querying Content of Video Libraries 7.3 Video Segmentation 7.4 Video Standards Chapter 8 Audio Databases 8.1 A General Model of Audio Data 8.2 Capturing Adio Content through Discrete Transformations 8.3 Indexing Audio Data Chapter 9 Multimedia Databases 9.1 Conceptual Design and Architecture of a Multimedia Database 9.2 Organizing Multimedia Data based on the Principle of Uniformity 9.3 Media-Abstractions 9.4 Query Languages for Retrieving Multimedia Data 9.5 Indexing SMDSs with Enhanced Inverted Indices 9.6 Query Relaxation/Expansion 9.7 Final Remarks Part III: PHYSICAL STORAGE AND RETRIEVAL Chapter 10 Retrieving Multimedia Data from Disks 10.1 An Overview of Disks 10.2 RAID Arrays and Placement Methods 10.3 A Model of Heterogeneous Disk Servers 10.4 An Algorithm to Support VCR-Functions Chapter 11 Retrieving Multimedia Data from CD-Rom 11.1 Introduction to CD-Roms and CD-Rom Modeling 11.2 Scheduling Retrieval of Multiple Sectors from CD-Roms 11.3 Placement Methods Chapter 12 Retrieving Multimedia Data from Tapes 12.1 Tape Recording Mechanisms 12.2 Robotic Tape Libraries Chapter 13 Creating Distributed Multimedia Presentations 13.1 Objects in Multimedia Presentations 13.2 Specifying Multimedia Documents with Temporal Constraints 13.3 Efficient Solution of temporal Presentation Constraints 13.4 Spatial Constraints Chapter 14 Distributed Media Servers 14.1 Introduction 14.2 Distributed Multimedia Server Architecture 14.3 Distributed Retrieval Plans 14.4 Optimal Distributed Retrieval Plans 14.5 An Algorithm to compute Optimal Retrieval Plans Chapter 15 Future Directions 15.1 Querying the Web 15.2 Mobile Multimedia Systems 15.3 Wateremarking and Steganography 15.4 Other Directions Chapter 16 Term Projects

Multimedia Analysis and Retrieval System (MARS) Project

Abstract: To address the emerging needs of applications that require access to and retrieval of multimedia objects, we have started a Multimedia Analysis and Retrieval Systems (MARS) project at the University of Illinois. The project brings together researchers interested in the elds of computer vision, compression, information management and database systems with the singular goal of developing an e ective multimedia database management system. As a rst step towards the project, we have designed and implemented an image retrieval system. This paper describes the novel approaches towards image segmentation, representation, browsing, and retrieval supported by the developed system. Also described are the directions of future research we are pursuing as part of the MARS project.

A Metadatabase System for Semantic Image Search by a Mathematical Model of Meaning.

Abstract: In the design of multimedia database systems, one of the most important issues is to extract images dynamically according to the user's impression and the image's contents. In this paper, we present a metadatabase system which realizes the semantic associative search for images by giving keywords representing the user's impression and the image's contents.This metadatabase system provides several functions for performing the semantic associative search for images by using the metadata representing the features of images. These functions are realized by using our proposed mathematical model of meaning. The mathematical model of meaning is extended to compute specific meanings of keywords which are used for retrieving images unambiguously and dynamically. The main feature of this model is that the semantic associative search is performed in the orthogonal semantic space. This space is created for dynamically computing semantic equivalence or similarity between the metadata items of the images and keywords.