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The Many Facets of Progressive Retrieval for CBIR

机译：CBIR的逐步检索的许多方面

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Recently, progressive retrieval has been advocated as an alternate solution to multidimensional indexes or approximate techniques, in order to accelerate similarity search of points in multidimensional spaces. The principle of progressive search is to offer a first subset of the answers to the user during retrieval. If this subset satisfies the user's needs retrieval stops. Otherwise search resumes, and after a number of steps the exact answer set is returned to the user. Such a process is justified by the fact that in a large number of applications it is more interesting to rapidly bring first approximate answer sets rather than waiting for a long time the exact answer set. The contribution of this paper is a first typology of existing techniques for progressive retrieval. We survey a variety of methods designed for image retrieval although some of them apply to a general database browsing context which goes beyond CBIR. We also include techniques not designed for but that can easily be adapted to progressive retrieval.
机译：最近，提倡逐步检索作为多维索引或近似技术的替代解决方案，以加速多维空间中点的相似性搜索。渐进搜索的原理是在检索过程中向用户提供答案的第一子集。如果此子集满足用户需求，则停止检索。否则，将继续搜索，并在执行多个步骤后将准确的答案集返回给用户。这样的过程是合理的，因为在大量的应用程序中，快速带来第一近似答案集比等待很长一段时间才是确切的答案集更为有趣。本文的贡献是渐进式检索的现有技术的第一类。我们调查了设计用于图像检索的多种方法，尽管其中一些方法适用于CBIR以外的常规数据库浏览上下文。我们还包括了一些并非为之而设计的技术，但这些技术很容易适应渐进式检索。

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