VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
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
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
Proceedings of the 11th international conference on World Wide Web
Manifold Learning Based Cross-media Retrieval: A Solution to Media Object Complementary Nature
Journal of VLSI Signal Processing Systems
Understanding multimedia document semantics for cross-media retrieval
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
| Hi-index | 0.00 |
Developing effective and efficient retrieval techniques for multimedia data is a challenging issue in building a digital library. Unlike most previously proposed retrieval approaches that focus on a specific media type, this paper presents 2M2Net as a generic framework for retrieval of multimodality data in digital libraries. As its specific approaches, a learning- from-elements strategy is devised for propagation of semantic descriptions, and a cross media search mechanism with relevance feedback is proposed for evaluation and refinement of user queries. Experiments conducted on a digital encyclopedia manifest the effectiveness and flexibility of our approaches.