Abstract
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- fromelements 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.
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© 2001 Springer-Verlag Berlin Heidelberg
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Yang, J., Zhuang, Y., Li, Q. (2001). Search for Multi-modality Data in Digital Libraries. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_62
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DOI: https://doi.org/10.1007/3-540-45453-5_62
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