Semantic Based Prefetching in News-on-Demand Video Servers
Multimedia Tools and Applications
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In video databases, a video document has two abstractions. The high level abstraction corresponds to the view in which the contents of that video document are seen by end users. And the low level abstraction corresponds to the physical organization of that video document. We propose a novel prefetching strategy that merges the two views of a video document to trigger prefetching at the video server level. In this paper, we focus on the impact of the high level view on the proposed prefetching technique. Specifically, we study the behavior of the prefetching technique under different typologies of the video database contents. The simulation experiments show an improvement of between 10% and 23%.