Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Structured natural-language descriptions for semantic content retrieval of visual materials
Journal of the American Society for Information Science and Technology
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Proceedings of the 11th international conference on World Wide Web
Proceedings of the 11th international conference on World Wide Web
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
Implicit Concept-based Image Indexing and Retrieval
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Multimedia Retrieval Benchmarks
IEEE MultiMedia
Multimedia Search: Ready or Not?
IEEE Distributed Systems Online
A Fuzzy Expert System for Concept-Based Image Indexing and Retrieval
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Ad Hoc Image Retrieval Using Hierarchical Semantic-Based Index
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
The challenge problem for automated detection of 101 semantic concepts in multimedia
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Indexing Multimedia and Creative Works: The Problems of Meaning and Interpretation
Indexing Multimedia and Creative Works: The Problems of Meaning and Interpretation
ACM SIGACCESS Accessibility and Computing - 20 years after Dexter Hypertext Reference Model
Next-Generation Multimedia Database Retrieval
IEEE MultiMedia
Multimedia data mining and searching through dynamic index evolution
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Collective Evolutionary Indexing of Multimedia Objects
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
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A challenging problem facing the semantic search of multimedia data objects is the ability to index them. Here, we present an architectural paradigm for collaborative semantic indexing, which makes use of a dynamic evolutionary approach. By capturing, analyzing and interpreting user response and query behavior, the patterns of searching and finding multimedia data objects may be established. Within the present architectural paradigm, the semantic index may be dynamically constructed, validated, and built-up, where the performance of the system will increase as time progresses. Our system also incorporates a high degree of robustness and fault-tolerance whereby inappropriate index terms will be gradually eliminated from the index, while appropriate ones will be reinforced. We also incorporate genetic variations into the design to allow objects which may otherwise be hidden to be discovered. Experimental results indicate that the present approach is able to confer significant performance benefits in the semantic searching and discovery of a wide variety of multimedia data objects.