An image-centred "search and indexation system" based in user's data and perceived emotion

In recent years, we can find a lot of studies about the better way to categorize the image in digital media for its later use more personalized and efficient. The large and growing number of image banks, Web pages, and search engines where we can find billions of images, is the principal reason to study the subjective relationship between the user and the image to increase the usability of interfaces where we can look, index or find images. The main objective of this work is to make a new customized interface to categorize and search images in function of statistic and subjective user data. With this system we increase the "usability" and the successful results in the task of searching and indexing photographic images in function of the user, because like we will see, there is a subjective component in the task of searching images: the origin, age, sex, or simply the user experience with the media. A secondary objective is to find the optimum relationship that has to exist among the technical characteristics of the image (like colour, compression, or resolution), the distance from the screen of the visualization and the size of it, to achieve that all the emotional information of the image it remains reflected in the user.