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Top-K Selection Queries on Multimedia Datasets

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Synonyms

Aggregation algorithms for middleware systems; Evaluation of fuzzy queries over multimedia systems, Ranked multimedia retrieval

Definition

Traditionally, queries over structured (e.g., relational) data identify the exact matches for the queries. This exact-match query model is not appropriate for a multimedia dataset scenario where queries are inherently fuzzy – often expressing user preferences and not hard Boolean constraints – and are best answered with a ranked, or “top-k,” list of the best matching objects. Efficient top-k query algorithms for such applications must take into account the specific challenges in accessing multimedia data. In particular, the query model should consider the access interfaces available to retrieve object attribute information, as well as the cost of retrieving this attribute information.

Historical Background

Content management in multimedia repositories is an important problem as more and more multimedia applications are developed. For...

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Recommended Reading

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Correspondence to Amélie Marian .

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Marian, A. (2018). Top-K Selection Queries on Multimedia Datasets. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_429

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