<p>Each dot represents a video segment. Distance between dots is computed by the alignment algorithm either on coordinates (i.e. trajectories) or body parts (i.e. actions). In this example, the system created three clusters (green, blue and red clouds) where the centroid (black cross) is the most representative sequence of the cluster. The more the sequences are close together the more the alignment produces a high similarity score. Sequences distant from the centroid are less similar than the computed action prototype.</p
The Pure Distance Law predicts grouping by proximity in dot lattices that can be organised in four w...
This paper addresses the novel and challenging prob-lem of aligning camera views that are unsynchron...
ABSTRACT We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) whi...
Accounting for spatial image transformations is a requirement for multimedia problems such as video ...
A system is described that tracks moving objects in a video dataset so as to extract a representatio...
The concept of interrogating similarities within a data set has a long history in fields ranging fro...
The task of aligning multiple audio visual sequences with similar contents needs careful synchronisa...
This companion dataset relates to the manuscript "Clustering has a meaning: optimization of angular ...
This thesis studies the problem of spatio-temporal alignment of video sequences, i.e., establishing ...
In this paper, we propose a novel method to establish temporal correspondence between the frames of ...
This paper studies the problem of sequence-to-sequence alignment, namely establishing correspondence...
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time co...
This thesis presents methods for the temporal alignment of 3D performance capture data. Discussion o...
The paper investigates the possibilities of using clustering techniques in visual exploration and an...
The visual system groups close things together. Previous studies of grouping by proximity have faile...
The Pure Distance Law predicts grouping by proximity in dot lattices that can be organised in four w...
This paper addresses the novel and challenging prob-lem of aligning camera views that are unsynchron...
ABSTRACT We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) whi...
Accounting for spatial image transformations is a requirement for multimedia problems such as video ...
A system is described that tracks moving objects in a video dataset so as to extract a representatio...
The concept of interrogating similarities within a data set has a long history in fields ranging fro...
The task of aligning multiple audio visual sequences with similar contents needs careful synchronisa...
This companion dataset relates to the manuscript "Clustering has a meaning: optimization of angular ...
This thesis studies the problem of spatio-temporal alignment of video sequences, i.e., establishing ...
In this paper, we propose a novel method to establish temporal correspondence between the frames of ...
This paper studies the problem of sequence-to-sequence alignment, namely establishing correspondence...
Abstract. We introduced an algorithm for sequence alignment, based on maximizing local space-time co...
This thesis presents methods for the temporal alignment of 3D performance capture data. Discussion o...
The paper investigates the possibilities of using clustering techniques in visual exploration and an...
The visual system groups close things together. Previous studies of grouping by proximity have faile...
The Pure Distance Law predicts grouping by proximity in dot lattices that can be organised in four w...
This paper addresses the novel and challenging prob-lem of aligning camera views that are unsynchron...
ABSTRACT We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) whi...