Image analysis

Food-475 Database

Food-475 database is one of the largest publicly available food database with 475 food classes and 247,636 images obtained by merging four publicly available food databases.

Food 524 Database

Food524DB is the largest publicly available food dataset with 524 food classes and 247,636 images by merging food classes from existing datasets in the state of the art. This database can be used for food recognition. The database is composed of 247,636 images belonging to 524 food categories.

Image Aesthetics

In this paper we investigate the use of a deep Convolutional Neural Network (CNN) to predict …

MKL for remote sensing image classification

We propose a strategy for land use classification which exploits Multiple Kernel Learning (MKL) to automatically determine a suitable combination of a set of features without requiring any heuristic knowledge about the classification task.

Content-based retrieval of remote sensing images

We present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing (RS) images. The evaluation includes global, local, and Convolutional Neural Network (CNNs) features coupled with four different Content-Based Image Retrieval schemes.

Food Recognition

Automatic food recognition is an important task to support the users in their daily dietary monitoring and to keep tracks of their food consumption. We have designed datasets and algorithms for automatic dietary monitoring of canteen customers based on robust computer vision techniques.

Image Quality

Image quality assessment (IQA) is a multidimensional research problem and an active and evolving research …

Complexity Perception in Images

Visual complexity perception plays an important role in the fields of both psychology and computer vision. We investigate image complexity of different kind of stimuli. We perform different types of psycho-physical experiments and correlate subjective data with objective measures.