Efficient geometry-based similarity search of 3D spatial 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)
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
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DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
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CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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SMI '03 Proceedings of the Shape Modeling International 2003
Improving image retrieval effectiveness via multiple queries
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
Efficient Indexing and Retrieval Scheme for VRML Database
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Geometry Image Matching for Similarity Estimation of 3D Shapes
CGI '04 Proceedings of the Computer Graphics International
Automatic Selection and Combination of Descriptors for Effective 3D Similarity Search
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
Feature Combination and Relevance Feedback for 3D Model Retrieval
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Automatic shape expansion with verification to improve 3D retrieval, classification and matching
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI outperforms the individual FVs and gives high probability of providing relevant objects, other than the query itself, on the limited-size of display window. Therefore, user may select as many relevant objects as possible just after the initial query for the next RF iteration. In order to deal with the user's feedback, we have used and extended an RF algorithm, which enhances the precision by employing multipoint queries and estimating feature relevance derived from both the variance of the distance of relevant objects and the maximum rank of them. In addition, an Extended Exclusion Set (EES) incorporating with Exclusion Set (ES) is introduced. Using EES and ES, the RF algorithm pushes prospectively irrelevant objects away from the queries. By utilizing both approaches, the small number of RF iterations significantly improves the retrieval precision.