| Autor: |
Felipe Castro-Medina, Lisbeth Rodríguez-Mazahua, Asdrúbal López-Chau, Celia Romero-Torres, Aldo Osmar Ortiz-Ballona, María Antonieta Abud-Figueroa |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9783030899080 |
| DOI: |
10.1007/978-3-030-89909-7_5 |
| Popis: |
Vertical fragmentation is a distributed database design technique widely used in relational databases to reduce query execution costs. This technique has been also applied in multimedia databases to take advantage of its benefits in query optimization. Content-based retrieval is essential in multimedia databases to provide relevant data to the user. This paper presents a review of the literature on vertical fragmentation methods to determine if they consider multimedia data and content-based queries, are easy to implement, are complete (i.e., the paper includes all the information necessary to implement the method), and if they provide a cost model for the evaluation of their results. To meet this objective, we analyzed and classified 37 papers referring to vertical fragmentation and/or content-based image retrieval. Finally, we selected the best method from our comparative analysis and presented a web application architecture for applying vertical fragmentation in multimedia databases to optimize content-based queries. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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