The goal of the works described in this paper is to improve results produced by an object detector operating independently on each frame of a video document in order to generate a ...
Video parsing and indexing is an important early stage of contentbased video analysis. In this paper, we present a new web-enabled video indexing system that integrates Synchroniz...
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...
: Indexing video content is one of the most important problems in video databases. In this paper we present linear time and space algorithms for handling video metadata that repres...
Spyros Sioutas, Kostas Tsichlas, Bill Vassiliadis,...
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...