Adaptive Color Constancy Using Faces

We designed an adaptive color constancy algorithm that, exploiting the skin regions found in faces, is able to estimate and correct the scene illumination

 

Art² Gallery

Sabato 1 ottobre abbiamo partecipato al Meet Me Tonight 2016. I visitatori dello stand ART² …

 

Attentive Monitoring of Multiple Video Streams

In this project we shall consider the problem of deploying attention to subsets of the video streams for collating the most relevant data and information of interest related to a given task. We formalize this monitoring problem as a foraging problem.

 

Browsing museum image collections on a multi-touch table

A multi-touch tabletop system for browsing image databases, conceived for museums and art gallery exhibitions. The system exploits an innovative image browsing paradigm and image retrieval functionalities to perform natural and intuitive user interaction.

 

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.

 

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.

 

Deep Learning for Blind Image Quality Assessment

In this work we investigate the use of deep learning for distortion-generic blind image quality assessment.
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Deep Learning for Logo Recognition

In this project we present a method for logo recognition based on deep learning. Our recognition …

 

Fall Detection Using Smartphones

Life expectancy keeps growing and, among elderly people, accidental falls occur frequently. A system able to promptly detect falls would help in reducing the injuries that a fall could cause.

 

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.

 

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.

 

IAT – Image Annotation Tool

The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval and computer vision applications. In order to support the users during the image and video annotation process, several software tools have been developed to provide them with a graphical environment which helps drawing object contours, handling tracking information and specifying object metadata.

 

Illuminant Estimation Using Convolutional Neural Networks (CNNs)

In this paper we present a three-stage method for the estimation of the color of the …

 

Image Aesthetics

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

 

Image orientation detection using LBP-based features and logistic regression

In this work we present an algorithm for the automatic detection of the image orientation that relies on the image content as described by Local Binary Patterns (LBP).

 

Image Quality

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

 

Image Retrieval

We have developed algorithms for image similarity computation and image representation that can be used in content based image retrieval systems as well as for image understanding in classification tasks.

 

Karate moves recognition

This work aims at automatically recognizing sequences of complex karate movements and giving a measure …

 

Large Age-Gap Face Verification

This work introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.

 

Local Detectors and Compact Descriptors for Visual Search

A review of existing methods for local visual detectors and descriptors.

 

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.

 

RawFooT DB: Raw Food Texture Database

The Raw Food Texture database (RawFooT) has been specially designed to investigate the robustness of descriptors and classification methods with respect to variations in the lighting conditions, with a particular focus on variations in the color of the illuminant.

 

Reflectance Spectra Recovery

In this work a local optimization-based method that is able to recover the reflectance spectra …

 

Sampling Optimization for Printer Characterization

Printer characterization usually requires a large number of printer inputs and corresponding color measurements of …

 

Semi-automatic and Automatic Video Annotation

We have developed the iVAT: an interactive Video Annotation Tool. It supports manual, semi-automatic and automatic annotations through the interaction of the user with various detection algorithms.

 

Sensor placement optimization

In this work we address the problem of optimal sensor placement for a given region and task. An important issue in designing sensor arrays is the appropriate placement of the sensors such that they achieve a predefined goal.

 

Smile detection

We present a fully automated approach for smile detection. Faces are detected using a multi-view …

 

User Preferences Modeling and Learning for Pleasing Photo Collage Generation

We consider the problem of how to automatically create pleasing photo collages: given a set of photos and a canvas area, we want to arrange the photos on the canvas in a pleasant unsupervised manner.

 

Video Indexing and Summarization

Very large databases of images and videos depend on efficient algorithms to enable fast browsing and access to the information pursued.