There are two substantial open issues in the field of the image retrieval: semantic gap between computationally extracted low-level features and human operated high-level concepts...
Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegor...
trieval through Abstract Shape Indication A. Brucale, F. Cesari, M. d'Amico, M. Ferri, P. Frosini, L. Gualandri, M. Guerra, A. Lovato, I. Pace Dip. di Matematica, Universit`a ...
The challenges of searching the increasingly large collections of digital images which are appearing in many places mean that automated annotation of images is becoming an importan...
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...