A framework for the retrieval of multiple regions using Binary Partition Trees and low level descriptors

This paper proposes a framework for the retrieval of multiple regions characterized by low-level features. The retrieval combines the assessment of the visual similarity between regions and of the similarity of the relationship between these regions. Binary Partition Trees (BPTs) are used as a basis of the image representation. Regions of the BPT are described by low-level descriptors. Finally, relevance feedback is used to avoid the need of manually setting the weights associated to each descriptor.