Constantin Vertan

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Automatic monitoring for the assessment of pain can significantly improve the psychological comfort of patients. Recently introduced databases with expert annotation opened the way for pain intensity estimation from facial analysis. In this contribution, pivotal face elements are identified using the Histograms of Topographical features (HoT) which are a(More)
Histogram equalization (HE) is one of the simplest and most effective techniques for enhancing gray-level images. For color images, HE becomes a more difficult task, due to the vectorial nature of data. We propose a new method for color image enhancement that uses two hierarchical levels of HE: global and local. In order to preserve the hue, equalization is(More)
This paper proposes a novel approach to color texture characterization and classification. Rather than developing new textural features, we propose to derive a family of new, reduced dimensionality color spaces (that we call ), that allow a good classification performance by the use of classical energy-distribution features, defined in a scalar spectral(More)
In this paper, we propose an audio-visual approach to video genre categorization. Audio information is extracted at block-level, which has the advantage of capturing local temporal information. At temporal structural level, we asses action contents with respect to human perception. Further, color perception is quantified with statistics of color(More)
Content-based image retrieval primarily used color distributions as descriptors of the image content; researches have since focused on the use of various color representation spaces, color and illumination invariance, color quantization and color matching. In order to overcome the many limitations of the description by a first-order distribution, several(More)
Vector (multichannel) signal processing has arisen in the last decades as a major area of interest. The classical single-channel (scalar valued) processing techniques cannot deal with the interchannel dependencies, yielding to the development of new methods. This paper investigates two approaches to the median filtering of vector valued signals: filtering(More)
Many applications pointed to the informative potential of the human eyes. In this paper we investigate the possibility of estimating the cognitive process used by a person when addressing a mental challenge, according to the Eye Accessing Cue (EAC) model from the Neuro-Linguistic Programming (NLP) theory [3]. This model states that there is a subtle, yet(More)