Content-Based Video Indexing and Retrieval
IEEE MultiMedia
ATM connection and traffic management schemes for multimedia internetworking
Communications of the ACM
PTool: a light weight persistent object manager
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Sharing Multimedia Data Over a Client-Server Network
IEEE MultiMedia
Prospects for Interactive Video-on-Demand
IEEE MultiMedia
Making a Cost-Effective Video Server
IEEE MultiMedia
Networked Multimedia: The Medusa Environment
IEEE MultiMedia
IEEE MultiMedia
Analyzing High Energy Physics Data Using Databases: A Case Study
Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management
Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video
Managing Physical Folios of Objects Between Nodes
Proceedings of the Sixth International Workshop on Persistent Object Systems
An architecture for a scalable, high-performance digital library
MSS '95 Proceedings of the 14th IEEE Symposium on Mass Storage Systems
Hi-index | 0.00 |
In this paper we present the design, architecture, implementation and performance of a digital library of video data. Our goal is to provide a lightweight video service for multimedia digital libraries built upon an ATM infrastructure, providing nonlinear editing and viewing of video. To accomplish this objective we have used a low overhead, high performance persistent object manager to manage the underlying video data.To test these ideas, we used the lightweight persistent object manager PTool, developed by the Laboratory for Advanced Computing at the University of Illinois at Chicago, to create persistent object stores of video data on a cluster of Unix workstations connected with an ATM switch. To improve performance, we striped the video data across the cluster.We verified that we were able to manage gigabytes of video data without performance degradation and that striping improved performance linearly up to the bandwidth of the equipment. We also compared the performance of ATM networked and ethernet networked clusters.Finally, we mention that viewing the video data as a persistent collection of objects (i.e. each frame of video as an object) provides attribute based retrieval of data, and hence allows for very simple editing, querying and retrieval of video data by attribute. It allows for the use of object associations to combine video, audio, text, etc.