Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Abstract— A TCP-friendly Additive Increase and Multiplicative Decrease (AIMD) protocol is proposed to support timesensitive applications in hybrid wired/wireless networks. By ana...
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
This paper presents and evaluates a set of pictorial depth cues for far-field outdoor mobile augmented reality (AR). We examine the problem of accurately placing virtual annotatio...