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Polibits
On-line version ISSN 1870-9044
Polibits n.38 México Jul./Dec. 2008
Regular papers
An Extended Video Database Model for Supporting FinerGrained MultiPolicy and MultiLevel Access Controls
Nguyen Anh Thy Tran1 and Tran Khanh Dang2
1 KMS Company, Ho Chi Minh City, Vietnam (email: thytran@kms.com.vn).
2 Faculty of Computer Science & Engineering, HCMC University of Technology, VNUHCM, Ho Chi Minh City, Vietnam (phone:+84983173334, email: khanh@cse.hcmut.edu.vn).
Manuscript received May 11, 2008.
Manuscript accepted for publication October 22, 2008.
Abstract
The growing amount of multimedia data available to the average user has reached a critical phase, where methods for indexing, searching, and efficient retrieval are needed to manage the information overload. Many research works related to this field have been conducted within the last few decades and consequently, some video database models have been proposed. Most of the modern video database models make use of hierarchical structures to organize huge amount of videos to support video retrieval efficiently. Even now, among open research issues, video database access control is still an interesting research area with many proposed models. In this paper, we present a hybrid video database model which is a combination of the hierarchical video database model and annotations. In particular, we extend the original hierarchical indexing mechanism to add frames and salient objects at the lowest granularity level in the video tree with the aim to support multilevel access control. Also, we give users more solutions to query for videos based on the video contents using annotations. In addition, we also suggest the original database access control model to fit the characteristics of video data. Our modified model supports both multiple access control policies, meaning that a user may be affected by multiple polices, and multilevel access control, meaning that an authorization may be specified at any video level. Theoretical analyses and experimental results with real datasets are presented that confirm the correctness and efficiency of our approach.
Key words: Video database security, video database model, contentbased video retrieval, access control, multimedia database.
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NOTE
This work was supported in part by Advances in Security & Information Systems (ASIS) Lab, Faculty of Computer Science & Engineering, HCMUT, Vietnam.