Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Semantic concept-based query expansion and re-ranking for multimedia retrieval
Proceedings of the 15th international conference on Multimedia
Bayesian video search reranking
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Multimedia Content Analysis: Theory and Applications
Multimedia Content Analysis: Theory and Applications
Foundations and Trends in Information Retrieval
Query-based video event definition using rough set theory
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Semantic context transfer across heterogeneous sources for domain adaptive video search
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Distribution-based concept selection for concept-based video retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Exploring inter-concept relationship with context space for semantic video indexing
Proceedings of the ACM International Conference on Image and Video Retrieval
Enhancing Concept Detection by Pruning Data with MCA-Based Transaction Weights
ISM '09 Proceedings of the 2009 11th IEEE International Symposium on Multimedia
Multigraph-based query-independent learning for video search
IEEE Transactions on Circuits and Systems for Video Technology
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
IEEE Transactions on Multimedia
Multimedia Databases and Data Management: A Survey
International Journal of Multimedia Data Engineering & Management
Weighted Association Rule Mining for Video Semantic Detection
International Journal of Multimedia Data Engineering & Management
Multimodal Information Integration and Fusion for Histology Image Classification
International Journal of Multimedia Data Engineering & Management
Rule-Based Semantic Concept Classification from Large-Scale Video Collections
International Journal of Multimedia Data Engineering & Management
Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion
International Journal of Multimedia Data Engineering & Management
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Motivated by the growing use of multimedia services and the explosion of multimedia collections, efficient retrieval from large-scale multimedia data has become very important in multimedia content analysis and management. In this paper, a novel ranking algorithm is proposed for video retrieval. First, video content is represented by the global and local features and second, multiple correspondence analysis MCA is applied to capture the correlation between video content and semantic concepts. Next, video segments are scored by considering the features with high correlations and the transaction weights converted from correlations. Finally, a user interface is implemented in a video retrieval system that allows the user to enter his/her interested concept, searches videos based on the target concept, ranks the retrieved video segments using the proposed ranking algorithm, and then displays the top-ranked video segments to the user. Experimental results on 30 concepts from the TRECVID high-level feature extraction task have demonstrated that the presented video retrieval system assisted by the proposed ranking algorithm is able to retrieve more video segments belonging to the target concepts and to display more relevant results to the users.