This paper describes the methods and results of classifications of multi-temporal Landsat TM/ETM+ data of the seven-county Twin Cities Metropolitan Area of Minnesota for 1986, 1991 and 1998. The overall classification accuracies were 95% for the three years, and the change detection accuracy was 88-90%. The classifications showed that the amount of urban or developed land increased from 25.8% t...

For the problem of sequential change detection we propose a novel modelling of the change-point mechanism. In particular we regard the time of change as a stopping time controlled by Nature. Nature, in order to decide when to impose the change, accesses sequentially information which can be different from the information provided to the Statistician to detect the change. Using as performance me...

Many problems can be cast as statistical inference on an attributed random graph. Our motivation is change detection in communication graphs. We prove that tests based on a fusion of graph-derived and content-derived metadata can be more powerful than those based on graph or content features alone. For some basic attributed random graphmodels, we derive fusion tests from the likelihood ratio. W...

Threshold selection is a critical step in using binary change detection methods. The threshold determines the accuracy of change detection results but is highly subjective and scene-dependent, depending on the familiarity with the study area and the analyst’s skill. Nearest neighbor classification is a nonparametric classifier, which was applied to remove the threshold. In order to find the mos...

We describe a system for detection and classification of moving targets. The system includes change detection and tracking modules, which are based on adaptive background, updated with information from target level processing. The classification module performs hybrid classification which combines motion and appearance features. The system is able to perform real time detection, tracking and cl...

Obtaining sufficient competitive intelligence is a critical factor in helping business managers gain and maintain competitive advantages. Patent data is an important source of competitive intelligence that enterprises can use to gain a strategic advantage. Under existing approaches, to detect changes in patent trends, business managers must rely on patent analysts to compare two patent analysis...

In this short paper, a novel approach that combines global and local information to detect abrupt and gradual shot changes is proposed. In this approach, abrupt shot change is detected by an adaptive threshold computed from DC frame histogram difference with a sliding window. To detect gradual shot changes, this work performs an analysis of blockwise histogram difference with a statistical mode...

We propose a hybrid architecture MTreeTV to support fast channel switching. MTreeTV combines the use of P2P networks with dedicated streaming servers, and was proposed to build on the advantages of both P2P and CDN paradigms. We study the placement of the servers with constraints on the client to server paths and evaluate the effect of the server parameters. Through analysis and simulation, we ...

The question of whether language affects nonlinguistic processes remains unresolved. Whereas many studies find that effects of language on such processes are disrupted when verbalization is inhibited, others show that they persist. We explored individual differences in the tendency to verbalize as a potential resolution to this discrepancy. We hypothesized that if language is spontaneously acce...

Schema-less change detection is the processes of comparing successive versions of an XML document or data collection to determine which portions are the same and which have changed, without using a schema. Change detection can be used to reduce space in an historical data collection and to support temporal queries. Most previous research has focused on detecting structural changes between docum...