Title :
Image query system using object probes
Author :
Tan, Tele ; Mulhem, Philippe
Abstract :
This paper presents a novel image-based indexing scheme called object probes. Object probes make use of both physical features and a manually formulated decision tree to classify objects in the scene. A conceptual graph is used to represent the association of the labels found in each labeled image. We develop a query formalism that translates the query elements into a graph structure. The query process can be seen as matching the query graph with those sub-graphs found in the database of images
Keywords :
decision theory; graph theory; image classification; image retrieval; image segmentation; indexing; visual databases; conceptual graph; graph structure; image database; image query system; image-based indexing scheme; labeled image; labels; manually formulated decision tree; object probes; physical features; query elements; query formalism; query graph; sub-graphs; Buildings; Classification tree analysis; Content based retrieval; Decision trees; Image databases; Image retrieval; Image segmentation; Indexing; Layout; Probes;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958590
