论文信息 - Semantic Image and Video Indexing in Broad Domains

Semantic Image and Video Indexing in Broad Domains

The six papers in this special section focus on semantic image and video indexing in broad domains. To bring semantics to the user in broad domains both the indexing and retrieval step have to be considered. The papers here address both steps and the relation to ontologies.

Marcel Worring | Guus Schreiber

[1] Marcel Worring,et al. Adding Semantics to Detectors for Video Retrieval , 2007, IEEE Transactions on Multimedia.

[2] Rong Yan,et al. Can High-Level Concepts Fill the Semantic Gap in Video Retrieval? A Case Study With Broadcast News , 2007, IEEE Transactions on Multimedia.

[3] Jianping Fan,et al. Incorporating Concept Ontology for Hierarchical Video Classification, Annotation, and Visualization , 2007, IEEE Transactions on Multimedia.

[4] Seyed M. M. Tahaghoghi,et al. Modeling Human Judgment of Digital Imagery for Multimedia Retrieval , 2007, IEEE Transactions on Multimedia.

[5] Jorma Laaksonen,et al. Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations , 2007, IEEE Transactions on Multimedia.

[6] Nuno Vasconcelos,et al. Bridging the Gap: Query by Semantic Example , 2007, IEEE Transactions on Multimedia.