Content-Based Video Retrieval
A Database Perspective
Book
Chapter
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...
Chapter
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...
Chapter
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...
Chapter
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...
Chapter
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 ...
Chapter
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...
Chapter
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...