The future success of ubiquitous computing depends to a big part on how well applications can adapt to their environment and act accordingly. This thesis has set itself the goal of exploring perceptual computing for Smart-Its, which is one such ubiquitous computing vision. The thesis addresses this task by first presenting a literature survey of the terms context and context-awareness. Using on...

To date, the overwhelming use of motion in computational vision has been to recover the three-dimensional structure of the scene. We propose that there are other, more powerful, uses for motion. Toward this end, we deene dynamic perceptual organization as an extension of the traditional (static) perceptual organization approach. Just as static perceptual organization groups coherent features in...

CWW is a methodology in which the objects of computation are words and propositions drawn from a natural language. [It is] inspired by the remarkable human capability to perform a wide variety of physical and mental tasks without any measurements and any computations. CWW may have an important bearing on how humans . . . make perception-based rational decisions in an environment of imprecision,...

In this paper we propose a software architecture for observing and modeling human activity. This architecture is derived from an ontology for context awareness. We propose a model in which a user’s context is described by a set of roles and relations. Different configurations of roles and relations correspond to situations within the context. The components of a context model are used to specif...

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

Our thesis is that computing with words needs to account for the uncertainties associated with the meanings of words, and that these uncertainties require using type-2 fuzzy sets. Doing this leads to a proposed architecture for making judgments by means of computing with words, i.e., to a perceptual computer—the Per-C. The Per-C includes an encoder, a type-2 rulebased fuzzy logic system, and a ...

The increase of data collection in various domains calls for an adaptation of methods of visualization to tackle magnitudes exceeding the number of available pixels on screens and challenging interactivity. This growth of datasets size has been supported by the advent of accessible and scalable storage and computing infrastructure. Similarly, visualization systems need perceptual and interactiv...

Taking both perceptual organization and aesthetic criteria into account is the key to high-quality diagram layout, but makes for a more di cult problem than pure aesthetic layout. Computing the layout of a network diagram that exhibits a speci ed perceptual organization can be phrased as a constraint-satisfaction problem. Some constraints are derived from the perceptual-organization speci catio...