Context-Based interpretation and indexing of video data
Mittal, A. Fah, C.L. Kassim, A. Pagalthivarthi, K.V.
Mittal, A.
Fah, C.L.
Pagalthivarthi, K.V.
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Abstract
Most of the video retrieval systems work with a single shot without considering the temporal context in which the shot appears. However, the meaning of a shot depends on the context in which it is situated and a change in the order of the shots within a scene changes the meaning of the shot. Recently, it has been shown that to find higherlevel interpretations of a collection of shots (i.e., a sequence), intershot analysis is at least as important as intrashot analysis. Several such interpretations would be impossible without a context. Contextual characterization of video data involves extracting patterns in the temporal behavior of features of video and mapping these patterns to a high-level interpretation. A Dynamic Bayesian Network (DBN) framework is designed with the temporal context of a segment of a video considered at different granularity depending on the desired application. The novel applications of the system include classifying a group of shots called sequence and parsing a video program into individual segments by building a model of the video program. © 2005, Idea Group Inc.
Keywords
Source Title
Managing Multimedia Semantics
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Date
2005
DOI
10.4018/978-1-59140-569-6.ch004
Type
Others