In this paper, we study how a sensor-rich world can be exploited by digital recording devices such as cameras and camcorders to improve a user’s ability to search through a larg...
The automatic detection of semantic events in users’ image and video collections is an important technique for content management and retrieval. In this paper we propose a novel...
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Abstract. Feature Extraction, also known as Multidimensional Scaling, is a basic primitive associated with indexing, clustering, nearest neighbor searching and visualization. We co...