Interactive video editing and analysis has a broad impact but it is still a very challenging task. Real-time video segmentation requires carefully defining how to represent the image content, and hierarchical models have shown their ability to provide efficient ways to access color image data. Furthermore, algorithms allowing fast construction of such representations have been introduced recent...

We evaluate a new hybrid language processing approach designed for interactive applications that maintain an interaction with users over multiple turns. Specifically, we describe a method for using a simple topic hierarchy in combination with a standard information retrieval measure of semantic similarity to reason about the selection of appropriate feedback in response to extended language inp...

In a quasi-experimental study, the researcher used two approaches to vocabulary instruction with 34 Level III College of Languages and Translation students, enrolled in King Khalid University, KSA. The purpose of the study was to explore the effects of each approach. One strategy emphasized direct teaching of the individual meanings for a set of unfamiliar words. The second strategy emphasized ...

Although computer security technologies are the first line of defence to secure users, their success is dependent on individuals’ behaviour. It is therefore necessary to persuade users to practice good computer security. Our interview analysis of users’ conceptualization of security password guessing attacks, antivirus protection, and mobile online privacy shows that poor understanding of secur...

Until now context free grammars (CFG) have been used mainly for the design of programming languages. There have been several studies, which demonstrate the relationship between learning theory and number theory. This paper presents protocols, which use context free languages for an authentication protocol using one-time authentication information. This authentication information can be used for...

We here model peripheral vision in a compressed sensing framework as a strategy of optimally guessing what stimulus corresponds to a sparsely encoded peripheral representation, and find that typical letter-crowding effects naturally arise from this strategy. The model is simple as it consists of only two convergence stages. We apply the model to the problem of crowding effects in reading. First...