For many years, a lot of museums and countries organize the high definition digitalization of their own collections.
In consequence, they generate massive data for each object. In this paper, we only focus on art painting
collections. Nevertheless, we faced a very large database with heterogeneous data. Indeed, image collection
includes very old and recent scans of negative photos, digital photos, multi and hyper spectral acquisitions,
X-ray acquisition, and also front, back and lateral photos. Moreover, we have noted that art paintings suffer
from much degradation: crack, softening, artifact, human damages and, overtime corruption. Considering
that, it appears necessary to develop specific approaches and methods dedicated to digital art painting analysis.
Consequently, this paper presents a complete framework to evaluate, compare and benchmark devoted to
image processing algorithms.
To help the tourist to discover a city, a region or a park, many options are provided by public tourism travel
centers, by free online guides or by dedicated book guides. Nonetheless, these guides provide only mainstream
information which are not conform to a particular tourist behavior. On the other hand, we may find several
online image databases allowing users to upload their images and to localize each image on a map. These
websites are representative of tourism practices and constitute a proxy to analyze tourism flows. Then, this
work intends to answer this question: knowing what I have visited and what other people have visited, where
should I go now? This process needs to profile users, sites and photos. our paper presents the acquired data and
relationship between photographers, sites and photos and introduces the model designed to correctly estimate
the site interest of each tourism point. The third part shows an application of our schema: a smart travel
guide on geolocated mobile devices. This android application is a travel guide truly matching the user wishes.
In the last decade, we have seen a tremendous emergence of genome sequencing analysis systems. These systems
are limited by the ability to phenotype numerous plants under controlled environmental conditions. To avoid
this limitation, it is desirable to use an automated system designed with plants control growth feature in mind.
For each experimental sequence, many parameters are subject to variations: illuminant, plant size and color,
humidity, temperature, to name a few. These parameters variations require the adjustment of classical plant
detection algorithms. This paper present an innovative and automatic imaging scheme for characterising the
plant's leafs growth. By considering a plant growth sequence it is possible, using the color histogram sequence,
to detect day color variations and, then, to compute to set the algorithm parameters. The main difficulty is to
take into account the automaton properties since the plant is not photographed exactly at the same position
and angle. There is also an important evolution of the plant background, like moss, which needs to be taken
into account. Ground truth experiments on several complete sequences will demonstrate the ability to identify
the rosettes and to extract the plant characteristics whatever the culture conditions are.
The purpose of this paper is to propose a color image watermarking scheme based on an image dependent color gamut
sampling of the L*a*b* color space. The main motivation of this work is to control the reproduction of color images on
different output devices in order to have the same color feeling, coupling intrinsic informations on the image gamut and
output device calibration. This paper is focused firstly on the research of an optimal LUT (Look Up Table) which both
circumscribes the color gamut of the studied image and samples the color distribution of this image. This LUT is next
embedded in the image as a secret message. The principle of the watermarking scheme is to modify the pixel value of the
host image without causing any change neither in image appearance nor on the shape of the image gamut.
Universities, Governmental administrations, photography agencies and many other companies or individuals need framework to manage their multimedia documents and the copyright or authenticity attached to their images. We purpose a web-based interface able to realize many operations: storage, image navigation, copyright insertion, authenticity verification. When a photography owner wants to store and to publish the document on the Internet, he will use the interface
to add his images and set the internet sharing rules. The user can choose for example watermarking method or resolution viewing. He set the parameters visually in way to consider the best ratio between quality and protection. We propose too an authenticity module which will allow online verification of documents. Any user on internet, knowing the key encoding, will be able to verify if an watermarked image have been altered or not. Finally, we will give some practical
examples of our system. In this study, we merge the last technology in image protection and navigation to offer a complete scheme able to manage the images published. It allows to use only one system to supply the security and the publication of their images.