A Novel Approach to Fine-grained Content-based Access Control for Video Databases

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 expressly needed to manage the information load. In this paper, we present a hybrid video database model which is a combination of the hierarchical video database model and annotations using. In particular, we extend the original hierarchical indexing mechanism to add frames and salient objects as the lowest granularity level in the video tree with the aim to support multi-level access control. In conjunction, with the use of annotations, we give users more solutions to query for their interesting videos based on the video contents (content-based retrieval). In addition, we also tailor the original database access control model to fit the characteristics of video data. Our updated model supports both multiple access control policies, means a user may be affected by multiple polices, and multilevel access control, means an authorization may be specified at any video levels.