Petros Kapsalas

Learn More
A group of four organizations from the MESH consortium ( participated this year for the first time in the High Level Feature Extraction track in TRECVID. The partners were Telefónica I+D (UAM, Spain). We submitted a total of 6 runs, using different variations and configurations over a common model. With only one exception, results obtained by(More)
In this paper we propose an object detection approach that extracts a limited number of candidate local regions to guide the detection process. The basic idea of the approach is that object location can be determined by clustering points of interest and hierarchically forming candidate regions according to similarity and spatial proximity predicates.(More)
In this paper we present a new approach towards the extraction of affine image regions based on detecting shape-stable boundaries from a multi-scale image representation. We construct an affine morphological scale space (AMSS) representation [1], which performs anisotropic diffusion while preserving boundaries and being invariant to affine transformations.(More)
  • 1