Iterative refinement by relevance feedback in content-based digital image retrieval
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
WALRUS: a similarity retrieval algorithm for image databases
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Bayesian Relevance Feedback for Content-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Region Correspondence for Image Matching via EMD Flow
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Relevance feedback using adaptive clustering for image similarity retrieval
Journal of Systems and Software
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
An efficient and effective region-based image retrieval framework
IEEE Transactions on Image Processing
A visual shape descriptor using sectors and shape context of contour lines
Information Sciences: an International Journal
Making use of eye tracking information in image collection creation and region annotation
Proceedings of the 20th ACM international conference on Multimedia
Tagging-by-search: automatic image region labeling using gaze information obtained from image search
Proceedings of the 19th international conference on Intelligent User Interfaces
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A new region filtering and region weighting method, which filters out unnecessary regions from images and learns region importance from the region size and the spatial location of regions in an image, is proposed based on region representations. It weights the regions optimally and improves the performance of the region-based retrieval system based on relevance feedback. Due to the semantic gap between the low level feature representation and the high level concept in a query image, semantically relevant images may exhibit very different visual characteristics, and may be scattered in several clusters in the feature space. Our main goal is finding semantically related clusters and their weights to reduce this semantic gap. Experimental results demonstrate the efficiency and effectiveness of the proposed region filtering and weighting method in comparison with the area percentage method and region frequency weighted by inverse image frequency method, respectively.