Content-Based Image Retrieval Systems - Reviewing and Benchmarking

A common approach to model image data is to extract a vector of features from each image in the database (e.g. a color histogram) and then use the Euclidean distance between

Hadoop framework is used to store images and their features in column-oriented database HBase, and utilizes MapReduce computing model to im- prove the performance of image

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In addition to the mathematical definition of average precision stability, we include a performance evaluation of the major signature- based distance functions focusing on

Run 7 – Mixed: A visual and a semantic retrieval are applied as in the runs 5 and 6 and the results are combined using percentages(80-20) for the text retrieval and image

As an additional metric, after a query has been performed, a terminology display of the terms used is displayed, where the terms employed by the user are displayed in order,

Therefore, by mea- suring the L 1 (or city-block) distance between the MPEG-7 CSTs of the target image and user-generated image mosaics, the Mosaic Test can automatically calculate

The metric space model of similarity has already proved to be a very powerful concept for expressing many different forms of similarity of vectors, strings, sets and other data