Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Image Retrieval Based on Regions of Interest
IEEE Transactions on Knowledge and Data Engineering
Sub-image searching through intersection of local descriptors
Proceedings of the Third International Conference on SImilarity Search and APplications
Efficient object identification and localization for image retrieval using query-by-region
Computers & Mathematics with Applications
Proximity-Based order-respecting intersection for searching in image databases
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
On Combining Sequence Alignment and Feature-Quantization for Sub-Image Searching
International Journal of Multimedia Data Engineering & Management
| Hi-index | 0.00 |
Regions of interest in photos are important clues for the content-based image retrieval. However, segmenting semantically meaningful objects in the photo automatically for the query and similarity matching is known to be an unsolved problem. As an alternative, in this paper, we propose a scheme to form a query region in the image space in terms of 4× 4 sub-images. The set of query sub-images, which include the region of interest in the image space, is used for the basic unit for the similarity matching. Specifically, the edge histogram descriptor and the color layout descriptor in MPEG-7 are used to extract image features in the chosen sub-images and are compared to those extracted from the test images in the database. Experimental results show that the proposed method can retrieve images with similar regions in the images, even if the background regions look quite different from each other.