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The most promising database technology - Multimedia Databases  Ruoyun Gao  Liang Wang  Xiaofei Chao.

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Presentation on theme: "The most promising database technology - Multimedia Databases  Ruoyun Gao  Liang Wang  Xiaofei Chao."— Presentation transcript:

1 The most promising database technology - Multimedia Databases  Ruoyun Gao  Liang Wang  Xiaofei Chao

2 General trend Relational Databases (Tables, limited data types-int,long,string) Object-Relational Databases (Can Define ADTs;Falls short of dealing with very large collections of multimedia objects) Multimedia Databases ( Handle individual objects of very large size efficiently; Specify selection conditions based on the contents of multimedia objects )

3 Challenge Managing Repositories of Large Objects: Compression techniques must be carefully integrated into the database environment. Content-Based Retrieval: Although lots of efforts has been made, the accuracy still remains a difficult problem.

4 Example1- NASA’s EOS Project  Earth Observing System (EOS) is a program of NASA, which aims to create a repository of satellite imagery. It was designed for long-term global observations of the land surface, biosphere, atmosphere, and oceans of the Earth.  How it works? (EOS database collects and comprise images from a series of artificial satellite and scientific instruments in Earth orbit. Then EOS analyzes the images and predict the possible natural catastrophes)  We are being benefited by EOS. (Weather forecasting, Climate Changes) Image source http://earthobservatory.nasa.gov

5 Example2- Human Genome Project  Databases have been created to store genetic information such as GenBank.  Databases store huge amount of images of genetic 3D Structures and models.  Scientists query and compare images in the databases. Image source http://www.csm.ornl.gov/SC98/genomics.html

6  Aiming to put entire libraries into database systems and make them accessible through computer networks.  Many images, videos as well as animations are stored.  Requiring multimedia database management. Example3- NSF/DARPA/NASA Digital Libraries Project Webpage shot of http://www.nsf.gov/

7 Why focus on Content-based MIR?  We want to find images of airplanes in the National Science Foundation database  We want to find audios we are interested  We want to find videos of an interview with James Cameron discussing the making of the Titanic film. James Cameron? Discussing Titanic?

8 Graph 1 procedure of Content-Based Retrieval Retrieval procedure

9 References  Database Management Systems (Third Edition)- Raghu Ramakrishnan & Johannes Gehrke  Multimedia Information Retrieval:Promises and Challenges, Nicu Sebe, Faculty of Science, University of Amsterdam, contact:nicu@science.uva.nl  Content-Based Multimedia Information Retrieval:State of the Art and Challenges,MICHAEL S. LEW,ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 2, No. 1, February 2006, Pages 1 – 19.  Personalized Multimedia Retrieval: The New Trend?, MIR ’ 07, September 28 – 29, 2007, Augsburg, Bavaria, Germany. Nicu Sebe, Qi Tian


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