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 ...
A novel indexing and access method, called Affinity Hybrid Tree (AH-Tree), is proposed to organize large image data sets efficiently and to support popular image access mechanisms...
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Abstract. Geospatial information analysts are interested in spatial configurations of objects in satellite imagery and, more importantly, the ability to search a large-scale datab...