The design and analysis of spatial data structures
The design and analysis of spatial data structures
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Multimedia database management systems
Multimedia database management systems
IRM: integrated region matching for image retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A novel region-based image retrieval method using relevance feedback
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
Color-based image retrieval using binary signatures
Proceedings of the 2002 ACM symposium on Applied computing
A compact and efficient image retrieval approach based on border/interior pixel classification
Proceedings of the eleventh international conference on Information and knowledge management
Learning in Content-Based Image Retrieval
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Content based sub-image retrieval via hierarchical tree matching
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Learning in region-based image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
A generalized metric distance between hierarchically partitioned images
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Performance evaluation of relevance feedback methods
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Beyond keypoints: novel techniques for content-based image matching and retrieval
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Relevance feedback strategies for artistic image collections tagging
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Feature space warping relevance feedback with transductive learning
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
On Combining Sequence Alignment and Feature-Quantization for Sub-Image Searching
International Journal of Multimedia Data Engineering & Management
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This paper presents the use of relevance feedback to the problem of content-based sub-image retrieval (CBsIR). Relevance feedback is used to improve the accuracy of successive retrievals via a tile re-weighting scheme that assigns penalties to each tile of database images and updates the tile penalties for all relevant images retrieved at each iteration using both the relevant (positive) and irrelevant (negative) images identified by the user. Performance evaluation on a dataset of over 10,000 images shows the effectiveness and efficiency of the proposed framework. Using 64 quantized colors in the RGB color space, the system can achieve a stable average recall value of 70% within the top 20 retrieved (and presented) images after only 5 iterations, with each such iteration taking about 2 seconds.