Publikation
Scene-based Image Retrieval by Transitive Matching
Adrian Ulges; Christian Schulze
In: ACM International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval (ICMR-2011), 2011 ACM International Conference on Multimedia Retrieval, April 17-20, Trento, Italy, 4/2011.
Zusammenfassung
We address scene-based image retrieval, the challenge of
finding pictures taken at the same location as a given query
image, whereas a key challenge lies in the fact that target
images may show the same scene but different parts of it. To
overcome this lack of direct correspondences with the query
image, we study two strategies that exploit the structure of
the targeted image collection: first, cluster matching, where
pictures are grouped and retrieval is conducted on clus-
ter level. Second, we propose a probabilistically motivated
shortest path approach that determines retrieval scores based
on the shortest path in a cost graph defined over the image
collection. We evaluate both approaches on several datasets
including indoor and outdoor locations, demonstrating that
the accuracy of scene-based retrieval can be improved dis-
tinctly (by up to 40%), particularly by the shortest path
approach.