Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

In this article we investigate the problem of human action recognition in static images. By
action recognition we intend a class of problems which includes both action classification …

Cutaneous melanoma is the most life‐threatening form of skin cancer. Although advanced
melanoma is often considered as incurable, if detected and excised early, the prognosis is …

Bag-of-words based image representation is a successful approach for object recognition.
Generally, the subsequent stages of the process: feature detection, feature description …

Generally the bag-of-words based image representation follows a bottom-up paradigm. The
subsequent stages of the process: feature detection, feature description, vocabulary …

Bag-of-words-based image classification approaches mostly rely on low level local shape
features. However, it has been shown that combining multiple cues such as color, texture, or …

We address the problem of appearance-based person re-identification, which has been
drawing an increasing amount of attention in computer vision. It is a very challenging task …

In this paper we propose a new and effective scheme for applying frequent itemset mining to
image classification tasks. We refer to the new set of obtained patterns as Frequent Local …

We describe a novel framework for the joint processing of color and shape information in
natural images. A hierarchical non-linear spatio-chromatic operator yields spatial and …