TY - GEN
T1 - Multiple regions and their spatial relationship-based image retrieval
AU - Ko, Byoungchul
AU - Byun, Hyeran
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77954468441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954468441&partnerID=8YFLogxK
U2 - 10.1007/3-540-45479-9_9
DO - 10.1007/3-540-45479-9_9
M3 - Conference contribution
AN - SCOPUS:77954468441
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 81
EP - 90
BT - Image and Video Retrieval - International Conference, CIVR 2002, Proceedings
A2 - Lew, Michael S.
A2 - Sebe, Nicu
A2 - Eakins, John P.
PB - Springer Verlag
T2 - International Conference on Image and Video Retrieval, CIVR 2002
Y2 - 18 July 2002 through 19 July 2002
ER -