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Addis Ababa University Libraries Electronic Thesis and Dissertations: AAU-ETD! >
Faculty of Informatics >
Thesis - Computer Science >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1323
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| Title: | MULTIMEDIA CONTENT’S METADATA MANAGEMENT FOR PERVASIVE ENVIRONMENTS |
| Authors: | Fitsum, Meshesha |
| Advisors: | Dr. Dawit Bekele |
| Copyright: | 2005 |
| Date Added: | 29-Aug-2008 |
| Publisher: | Addis Ababa University |
| Abstract: | One of the important aspects of a pervasive environment is the adaptation of content to
suit a client’s specific needs and choices such as the client’s preferences, the
characteristics of the client device, the characteristics of the network to which the client is
currently connected, as well as other related factors. In order for the adaptation to be
efficient while satis fying the client’s requirements and maintaining the semantics and
quality of the content, the adaptation system needs to have adequate information
regarding the content to be adapted, the client’s profile, the network profile and others.
This thesis work addresses the issue of content metadata management in a pervasive
environment in relation to content adaptation. For this purpose, a distributed architecture
for the management of metadata of multimedia content is proposed. The proposed
architecture consists of components for storage, retrieval, update, and removal of
metadata in the system. It also provides interfaces to external components through which
metadata can be accessed. In addition, restrictions on the adaptations that may be applied
on the content are incorporated in the metadata. This enables the content creator to
impose constraints on adaptations that may potentially cause the loss of critical
information or a decrease in the quality of the adapted content. |
| Description: | A Thesis submitted to the School of Graduate Studies of Addis Ababa
University in partial fulfillment of the requirements for the degree of Master of
Science in Computer Science |
| URI: | http://hdl.handle.net/123456789/1323 |
| Appears in: | Thesis - Computer Science
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