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Titlebook: Symbol Spotting in Digital Libraries; Focused Retrieval ov Marçal Rusiñol,Josep Lladós Book 2010 Springer-Verlag London Limited 2010 Focuse

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A Relational Indexing Method for Symbol Spottingnd. In order to foster the querying speed, a hashing technique is proposed which is able to retrieve very efficiently primitives by similarity. Vectorial primitives are coarsely encoded by well-known shape description methods providing a numerical description of the primitives. A relational indexing
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Performance Evaluation of Symbol Spotting Systemsey shall have the ability to recognize and locate graphical symbols in a single step. In this chapter, we present a set of measures to evaluate the performance of a symbol spotting system in terms of recognition abilities, location accuracy and scalability. We show that the proposed measures allow d
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State-of-the-Art in Symbol Spottingchniques and the families we can find in the literature. Then, the existing data structures which aim to store the extracted descriptors and provide efficient access to them will be analyzed. We finally review the existing methods for hypotheses validation which can be used for spotting purposes.
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A Relational Indexing Method for Symbol Spotting approach is presented in order to introduce some structural information of the symbols and provide an accurate hypotheses validation. Experimental results show the performance of the proposed approach.
发表于 2025-3-26 19:30:53 | 显示全部楼层
Symbol Spotting Through Prototype-based Searcho the queried ones, and therefore, a high probability to find the queried graphical symbol. The proposed approach has been proved to work even in the presence of noise and distortion introduced by the scanning and raster-to-vector processes.
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