Multimedia Databases

2008 ◽  
pp. 216-222
Author(s):  
Mariana Hentea
Keyword(s):  
Interior Design ◽  
Computer Aided Design ◽  
Weather Forecasting ◽  
Database Systems ◽  
Multimedia Databases ◽  
Multimedia Database ◽  
Medical Systems ◽  
Storage Devices ◽  
On Demand ◽  
Data Objects

The Internet and technologies such as high-capacity storage devices, broadband telecommunications systems, and multimedia development software systems have accelerated the development of new applications based on the use of multimedia database systems. A multimedia database is a repository of different data objects (text, numeric values, Boolean values, dates, graphical images, video clips, and sound files). Examples of applications based on multimedia databases include news and stock market information on demand; movies on demand; home shopping; medical systems; trademark, patent, and copyright databases; geographic information systems (GIS); weather forecasting; Computer Aided Design (CAD) systems; architectural design; fabric and fashion design; interior design; photographic libraries; art gallery and museum management; law enforcement; criminal investigations; military reconnaissance and surveillance; scientific experiments; and educational systems

Multimedia Databases

2005 ◽  
pp. 390-394
Author(s):  
Mariana Hentea
Keyword(s):  
Interior Design ◽  
Computer Aided Design ◽  
Weather Forecasting ◽  
Database Systems ◽  
Multimedia Databases ◽  
Multimedia Database ◽  
Medical Systems ◽  
Storage Devices ◽  
On Demand ◽  
Data Objects

The Internet and technologies such as high-capacity storage devices, broadband telecommunications systems, and multimedia development software systems have accelerated the development of new applications based on the use of multimedia database systems. A multimedia database is a repository of different data objects (text, numeric values, Boolean values, dates, graphical images, video clips, and sound files). Examples of applications based on multimedia databases include news and stock market information on demand; movies on demand; home shopping; medical systems; trademark, patent, and copyright databases; geographic information systems (GIS); weather forecasting; Computer Aided Design (CAD) systems; architectural design; fabric and fashion design; interior design; photographic libraries; art gallery and museum management; law enforcement; criminal investigations; military reconnaissance and surveillance; scientific experiments; and educational systems.

Multimedia Databases and Data Management

2012 ◽  
pp. 1-11
Author(s):  
Shu-Ching Chen
Keyword(s):  
Data Management ◽  
Relevant Information ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Formal Structure ◽  
Multimedia Database ◽  
Storage Devices ◽  
Temporal Relationships ◽  
Spatio Temporal ◽  
Application Requirements

The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.

Multimedia Databases and Data Management

2010 ◽  
Vol 1 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Shu-Ching Chen
Keyword(s):  
Data Management ◽  
Relevant Information ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Formal Structure ◽  
Multimedia Database ◽  
Storage Devices ◽  
The Media ◽  
Spatio Temporal ◽  
Application Requirements

The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.

Distributed Multimedia Databases

2002 ◽  
pp. 2-12 ◽  
Author(s):  
Timothy K. Shih
Keyword(s):  
Distributed Control ◽  
Digital Libraries ◽  
Database Systems ◽  
Video On Demand ◽  
Multimedia Databases ◽  
Multimedia Database ◽  
Network Technology ◽  
Distributed Multimedia ◽  
Multimedia Computing ◽  
Systems Requirements

Distributed Multimedia Database involves network technology, distributed control, security, and multimedia computing. This chapter discusses fundamental concepts and introduces issues of image database and digital libraries, video-on-demand systems, multimedia synchronization, as well as some case studies of distributed multimedia database systems. Requirements of multimedia database management systems and their functions are also presented.

scholarly journals IDENTIFYING OVERLAPPED OBJECTS FOR VIDEO INDEXING AND MODELING IN MULTIMEDIA DATABASE SYSTEMS

2001 ◽  
Vol 10 (04) ◽  
pp. 715-734 ◽  
Author(s):  
SHU-CHING CHEN ◽  
MEI-LING SHYU ◽  
CHENGCUI ZHANG ◽  
R. L. KASHYAP
Keyword(s):  
Spatial Information ◽  
Video Segmentation ◽  
Database Systems ◽  
Video Indexing ◽  
Video Data ◽  
Multimedia Database ◽  
Current Frame ◽  
Data Indexing ◽  
Spatio Temporal ◽  
Input Strings

The identification of the overlapped objects is a great challenge in object tracking and video data indexing. For this purpose, a backtrack-chain-updation split algorithm is proposed to assist an unsupervised video segmentation method called the "simultaneous partition and class parameter estimation" (SPCPE) algorithm to identify the overlapped objects in the video sequence. The backtrack-chain-updation split algorithm can identify the split segment (object) and use the information in the current frame to update the previous frames in a backtrack-chain manner. The split algorithm provides more accurate temporal and spatial information of the semantic objects so that the semantic objects can be indexed and modeled by multimedia input strings and the multimedia augmented transition network (MATN) model. The MATN model is based on the ATN model that has been used in artificial intelligence (AI) areas for natural language understanding systems, and its inputs are modeled by the multimedia input strings. In this paper, we will show that the SPCPE algorithm together with the backtrack-chain-updation split algorithm can significantly enhance the efficiency of spatio-temporal video indexing by improving the accuracy of multimedia database queries related to semantic objects.

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