In this paper, we present a new multiple regions and their spatial relationship-based image retrieval method. In this method, a semantic object is integrated as a set of related regions based on their spatial relationships and visual features. In contrast to other ROI (Regionof- Interest) or multiple region-based algorithms, we use the Hausdorff Distance (HD) to estimate spatial relationships between regions. By our proposed HD, we can simplify matching process between complex spatial relationships and admit spatial variations of regions, such as translation, rotation, insertion, and deletion. Furthermore, to solve the weight adjust problem automatically and to reflect user’s perceptual subjectivity to the system, we incorporate relevance feedback mechanism into our similarity measure process.
|Title of host publication||Image and Video Retrieval - International Conference, CIVR 2002, Proceedings|
|Editors||Michael S. Lew, Nicu Sebe, John P. Eakins|
|Number of pages||10|
|Publication status||Published - 2002|
|Event||International Conference on Image and Video Retrieval, CIVR 2002 - London, United Kingdom|
Duration: 2002 Jul 18 → 2002 Jul 19
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||International Conference on Image and Video Retrieval, CIVR 2002|
|Period||02/7/18 → 02/7/19|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)