This paper addresses the problem of matching visual parts of video sequences from within a large collection. The visual content of a video sequence is described by the set of the ...
It is well known that the text that appears in a video scene or is graphically added to it is an important source of semantic information for indexing and retrieval, notably in the...
In this work we present a new crowd analysis algorithm powered by behavior priors that are learned on a large database of crowd videos gathered from the Internet. The algorithm wo...
Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yv...
In this paper we describe XXL (eXtensible and fleXible Library), a toolkit for rapid prototyping query processing algorithms. XXL is a flexible, high-level, platform independent J...
Jochen Van den Bercken, Jens-Peter Dittrich, Bernh...
This paper presents a novel method for real-time tracking of objects in video sequences. Tracking is performed using the so-called Morphological Elastic Graph Matching algorithm. ...
Georgios N. Stamou, Nikos Nikolaidis, Ioannis Pita...