A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Storing and querying ordered XML using a relational database system
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Dunhuang Frescoes retrieval based on similarity calculation of color and texture features
IV '97 Proceedings of the IEEE Conference on Information Visualisation
A bootstrapping approach to annotating large image collection
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
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ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Proceedings of the 12th annual ACM international conference on Multimedia
Semantic concept-based query expansion and re-ranking for multimedia retrieval
Proceedings of the 15th international conference on Multimedia
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Retrieval of similar scenes in ancient murals research is an important but time-consuming job for researchers. However, content-based image retrieval (CBIR) systems cannot fully deal with such issues since they lack of the abilities to handle complex semantic and image composition queries. In this paper, we introduce a new semantic scene-retrieval approach for ancient murals. Our method can retrieve related scenes according to both their content elements and their composition through a two-phase procedure. Then, retrieved scenes are ranked according to composition-based criterion that incorporates the relevance of semantic content and visual structures with scene compactness ratio. Hence, the sorted results are tailored to the real intent of query. The experiments demonstrate the efficiency and effectiveness of our approach to reduce the semantic gap of visual information retrieval. Furthermore, the retrieval results for Dunhuang murals suggest the potential applications for general paintings retrieval and personalized publishing.