ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Dynamic Zone Retrieval and Landmark Computation for Spatial Data
Digital Cities, Technologies, Experiences, and Future Perspectives [the book is based on an international symposium held in Kyoto, Japan, in September 1999
Scene extraction system for video clips using attached comment interval and pointing region
Multimedia Tools and Applications
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An hour long video data may contain a large number of meaningful intervals. Manual identification of all such intervals is practically infeasible. There has been some success in automatically parsing and indexing video data through the integration of technologies such as image processing, speech/character recognition, and natural language understanding. However, even by applying such techniques, complete identification of all the intervals required for answering all possible queries cannot be achieved. As a result, using the current state-of-art techniques, whether automatic or manual, it is only fragmentary video intervals that can be successfully indexed. Our goal is to retrieve meaningful intervals within such fragmentarily indexed video streams. We propose a new set of algebraic operations which enable us to compose all the intervals that are conceivably relevant to a query. Since these operations may compose even irrelevant intervals, we provide a mechanism to exclude as many of them as possible from the answer set.