Applied multivariate statistical analysis
Applied multivariate statistical analysis
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Incremental clustering and dynamic information retrieval
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Extended Boolean information retrieval
Communications of the ACM
Comparing discriminating transformations and SVM for learning during multimedia retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
FALCON: Feedback Adaptive Loop for Content-Based Retrieval
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
Proceedings of the 27th International Conference on Very Large Data Bases
The Hybrid Tree: An Index Structure for High Dimensional Feature Spaces
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Efficient Query Refinement in Multimedia Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Adaptable similarity search using non-relevant information
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
IEEE Transactions on Multimedia
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Improving image retrieval effectiveness via multiple queries
MMDB '03 Proceedings of the 1st ACM international workshop on Multimedia databases
A unified framework for image database clustering and content-based retrieval
Proceedings of the 2nd ACM international workshop on Multimedia databases
A PCA-based similarity measure for multivariate time series
Proceedings of the 2nd ACM international workshop on Multimedia databases
VISCORS: A Visual-Content Recommender for the Mobile Web
IEEE Intelligent Systems
On scalability of active learning for formulating query concepts
Proceedings of the 1st international workshop on Computer vision meets databases
Improving Image Retrieval Effectiveness via Multiple Queries
Multimedia Tools and Applications
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Efficient target search with relevance feedback for large CBIR systems
Proceedings of the 2006 ACM symposium on Applied computing
An efficient k nearest neighbor search for multivariate time series
Information and Computation
A user-oriented contents recommendation system in peer-to-peer architecture
Expert Systems with Applications: An International Journal
An in-memory relevance feedback technique for high-performance image retrieval systems
Proceedings of the 6th ACM international conference on Image and video retrieval
OCRS: an interactive object-based image clustering and retrieval system
Multimedia Tools and Applications
An adaptive approach to schema classification for data warehouse modeling
Journal of Computer Science and Technology
Indexing for multipoint interactive similarity retrieval in iconic spatial image databases
Journal of Visual Languages and Computing
Mixture of KL subspaces for relevance feedback
Multimedia Tools and Applications
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Aggregate similarity queries in relevance feedback methods for content-based image retrieval
Proceedings of the 2008 ACM symposium on Applied computing
Handle local optimum traps in CBIR systems
Proceedings of the 2008 ACM symposium on Applied computing
Two Step Relevance Feedback for Semantic Disambiguation in Image Retrieval
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Confidence interval approach to feature re-weighting
Multimedia Tools and Applications
Building a Compact Relevant Sample Coverage for Relevance Feedback in Content-Based Image Retrieval
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Efficiently support concurrent queries in multiuser CBIR systems
Multimedia Tools and Applications
Speed up interactive image retrieval
The VLDB Journal — The International Journal on Very Large Data Bases
A hybrid recommendation procedure for new items using preference boundary
Proceedings of the 11th International Conference on Electronic Commerce
A Multi-Directional Search technique for image annotation propagation
Journal of Visual Communication and Image Representation
Fast query point movement techniques with relevance feedback for content-based image retrieval
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Image classification for digital archive management
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Toward consistent evaluation of relevance feedback approaches in multimedia retrieval
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment
International Journal of Multimedia Data Engineering & Management
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The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance feedback are currently available to process relatively complex queries on large image databases. In the case of complex image queries, the feature space and the distance function of the user's perception are usually different from those of the system. This difference leads to the representation of a query with multiple clusters (i.e., regions) in the feature space. Therefore, it is necessary to handle disjunctive queries in the feature space.In this paper, we propose a new content-based image retrieval method using adaptive classification and cluster-merging to find multiple clusters of a complex image query. When the measures of a retrieval method are invariant under linear transformations, the method can achieve the same retrieval quality regardless of the shapes of clusters of a query. Our method achieves the same high retrieval quality regardless of the shapes of clusters of a query since it uses such measures. Extensive experiments show that the result of our method converges to the user's true information need fast, and the retrieval quality of our method is about 22% in recall and 20% in precision better than that of the query expansion approach, and about 34% in recall and about 33% in precision better than that of the query point movement approach, in MARS.