Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Salient Point Techniques
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Features Detectors and Descriptors Based on 3D Objects
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A novel performance evaluation method of local detectors on non-planar scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Local image representations using pruned salient points with applications to CBIR
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Specific object retrieval based on salient regions
Pattern Recognition
| Hi-index | 0.00 |
The use of salient regions is an increasingly popular approach to image retrieval. For situations where object retrieval is required and where the foreground and background can be assumed to have different characteristics, it becomes useful to exclude salient regions which are characteristic of the background if they can be identified before matching is undertaken. This paper proposes a technique to enhance the performance of object retrieval by filtering out salient regions believed to be associated with the background area of the images. Salient regions from background only images are extracted and clustered using descriptors representing the salient regions. The clusters are then used in the retrieval process to identify salient regions likely to be part of the background in images containing object and background. Salient regions close to background clusters are pruned before matching and only the remaining salient regions are used in the retrieval. Experiments on object retrieval show that the use of salient region background filtering gives an improvement in performance when compared with the unfiltered method.