Learn More
While the persistent data of many advanced database applications, such as OLAP and scientific studies, are characterized by very high dimensionality, typical queries posed on these data appeal to a small number of relevant dimensions. Unfortunately, the multi-dimensional access methods designed for high-dimensional data perform rather poorly for these(More)
In recent years, many emerging database applications deal with continuously moving data objects - each data object moves continuously and frequently reports its current location, moving direction, and speed to the database server. A database server for these applications keeps track of the trajectories of individual moving objects and processes queries(More)
The problem of storing and retrieving highdimensional data continues to be an important issue. In this paper, we propose an efficient high-dimensional point access method called the KDBKD-tree. The KDBKD-tree eliminates redundant information in KDB-trees by changing the representation of the index entries in the interior pages. Experimental evidence shows(More)
In spatial database applications, moving objects are frequently characterized not only by their position, but also by the uncertainty associated with the measurement of that position. In turn, uncertainty models allow for the specification of interpolators and extrapolators as a means to parametrically estimate historic and future trajectories. In nearly(More)
In recent years, many emerging database applications deal with large sets of continuously moving data objects. Since no computer system can commit continuously occurring infinitesimal changes to the database, related data management techniques view a moving object’s trajectory as a sequence of discretely reported spatiotemporal points. For each pair of(More)
Recent advances and innovations in smart sensor technologies, energy storage, data communications, and distributed computing paradigms are enabling technological breakthroughs in very large sensor networks. There is an emerging surge of next-generation sensor-rich computers in consumer mobile devices as well as tailor-made field platforms wirelessly(More)
Increasingly geographic properties are being associated with videos, especially those captured from mobile cameras. The meta data from camera-attached sensors can be used to model the coverage area of the scene as a spatial object such that videos can be organized, indexed and searched based on their field of views (FOV). The most accurate representation of(More)