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Proceedings ArticleDOI

Mass-storage management for distributed image/video archives

TLDR
The database information about characteristics of both storage devices and coding techniques are used by the third level functions to fit delivery/visualization requirements and to reduce archiving costs.
Abstract
The realization of image/video database requires a specific design for both database structures and mass storage management. This issue has addressed the project of the digital image/video database system that has been designed at IBM SEMEA Scientific & Technical Solution Center. Proper database structures have been defined to catalog image/video coding technique with the related parameters, and the description of image/video contents. User workstations and servers are distributed along a local area network. Image/video files are not managed directly by the DBMS server. Because of their wide size, they are stored outside the database on network devices. The database contains the pointers to the image/video files and the description of the storage devices. The system can use different kinds of storage media, organized in a hierarchical structure. Three levels of functions are available to manage the storage resources. The functions of the lower level provide media management. They allow it to catalog devices and to modify device status and device network location. The medium level manages image/video files on a physical basis. It manages file migration between high capacity media and low access time media. The functions of the upper level work on image/video file on a logical basis, as they archive, move and copy image/video data selected by user defined queries. These functions are used to support the implementation of a storage management strategy. The database information about characteristics of both storage devices and coding techniques are used by the third level functions to fit delivery/visualization requirements and to reduce archiving costs.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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Content-based image retrieval and its benefits for the stock photography market

TL;DR: Today's computers and high capacity storage-media enable stock photography agencies to build digital image databases, giving users fast access to large numbers of images, but the transition from analog to digital image archives imposes new problems: with thousands of images at hand, the search for a particular image may turn into a search for the needle in a haystack.
References
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Journal ArticleDOI

Data caching issues in an information retrieval system

TL;DR: Using a user's local storage capabilities to cache data at the user's site would improve the response time of user queries albeit at the cost ofurring the overhead required in maintaining multiple copies.
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