Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...
In this paper, we present a novel hardware architecture to achieve erosion and dilation with a large structuring element. We are proposing a modification of HGW algorithm with a bl...
Christophe Clienti, Michel Bilodeau, Serge Beucher
Abstract. Emotion recognition from facial images is a very active research topic in human computer interaction (HCI). However, most of the previous approaches only focus on the fro...
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
We propose a novel system for associating multi-target tracks across multiple non-overlapping cameras by an on-line learned discriminative appearance affinity model. Collecting rel...
Abstract. This paper addresses the problem of self-calibration and motion recovery for turntable sequences. Previous works exploited silhouette correspondences induced by epipolar ...
Fibered fluorescence microscopy is a recent developed image modality using a fiber optic probe connected to a laser scanning unit. It allows for in-vivo scanning of small animal su...
Steve De Backer, Frans Cornelissen, Jan Lemeire, R...
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illuminatio...
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an alternative the Fisher kernel...
Florent Perronnin, Yan Liu, Jorge Sanchez, Herve P...