Secure Data Management
Third VLDB Workshop, SDM 2006, Seoul, Korea, September 10-11, 2006. Proceedings
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Milan Petković
Data Structures and Information Theory
Information Storage and Retrieval
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Book and Conference Proceedings
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Book
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Chapter
Introduction
It is expected that a number of large digital video libraries (see for example [l–3]) will become publicly available in the near future, as a result of recent developments in digital video technology, the Inte...
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Chapter
Conclusions
The goal of this book as posed in Chapter 1 is to investigate what techniques are necessary to be added to a database management system to support content-based video retrieval. The research that has been done...
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Video Modeling
Content-based video retrieval requires changes in a multimedia database management system relative to a traditional database management system. These changes take effect mainly with respect to modeling and que...
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Chapter
Stochastic Modeling of Video Events
Although we have demonstrated in the previous chapter that spatiotemporal formalization can be used for inferring video semantics from low-level feature representations and extracting events like net-playing a...
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Chapter
Database Management Systems and Conetent-Based Retrieval
Database management systems have been extensively used for more than 30 years as a standard tool for manipulating large amounts of alphanumeric data. They allow efficient and fast access to stored data taking ...
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Spatio-Temporal Formalization of Video Events
As concluded in the previous chapter, the main gap in video retrieval lies between the low-level media features and the high-level concepts. However, as video is a temporal sequence of pixel regions at the phy...
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Chapter
Cobra: A Prototype of a Video DBMS
An increasing number of large video libraries, which are becoming publicly available, result in a demand for techniques that can manipulate the video data based on content. This has led to a wide range of rese...
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Chapter and Conference Paper
Cobra: A Content-Based Video Retrieval System
An increasing number of large publicly available video libraries results in a demand for techniques that can manipulate the video data based on content. In this paper, we present a content-based video retrieva...
