Towards Cloud Distributed Image Indexing by Sparse Hashing

Mourão, André; Magalhães, João

doi:10.1145/3323873.3325046

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…The most used fragmentation in the analyzed works is the horizontal one. The “Other” category shows the number of articles that use a type of fragmentation that is not any of the other three, such as the fragmentation of documents in [ 82 , 83 , 84 , 85 , 86 , 87 ], fragmentation of videos in [ 88 ], grid fragmentation in [ 95 ], among others. Of the papers that addressed horizontal fragmentation, 4 also included CBIR ([ 1 , 40 , 41 , 49 ]).…”

Section: Classification Of Research Papersmentioning

confidence: 99%

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Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Castro-Medina

Rodríguez-Mazahua

López-Chau

et al. 2020

Entropy

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Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases include data whose main characteristic is their large size, therefore, database administrators face a challenge of great importance, since they must contemplate the different qualities of non-trivial data. These databases over time undergo changes in their access patterns. Different fragmentation techniques presented in related studies show adequate workflows, however, some do not contemplate changes in access patterns. This paper aims to provide an in-depth review of the literature related to dynamic fragmentation of multimedia databases, to identify the main challenges, technologies employed, types of fragmentation used, and characteristics of the cost model. This review provides valuable information for database administrators by showing essential characteristics to perform proper fragmentation and to improve the performance of fragmentation schemes. The reduction of costs in fragmentation methods is one of the most desired main properties. To fulfill this objective, the works include cost models, covering different qualities. In this analysis, a set of characteristics used in the cost models of each work is presented to facilitate the creation of a new cost model including the most used qualities. In addition, different data sets or reference points used in the testing stage of each work analyzed are presented.

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Section: Classification Of Research Papersmentioning

confidence: 99%

“…Mourão & Magalhães [ 87 ] described how sparse hashes can help find an index where partitions are based on the feature vector distribution in the original space and create better distribution options for high dimension feature vectors. Different focus tests were performed on a commercial cloud service.…”

Section: Description Of the Set Of Work By Categorymentioning

confidence: 99%

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Castro-Medina

Rodríguez-Mazahua

López-Chau

et al. 2020

Entropy

View full text Add to dashboard Cite

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A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues

et al. 2021

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The past decade has been characterized by the growing volumes of data due to the widespread use of the Internet of Things (IoT) applications, which introduced many challenges for efficient data storage and management. Thus, the efficient indexing and searching of large data collections is a very topical and urgent issue. Such solutions can provide users with valuable information about IoT data. However, efficient retrieval and management of such information in terms of index size and search time require optimization of indexing schemes which is rather difficult to implement. The purpose of this paper is to examine and review existing indexing techniques for large-scale data. A taxonomy of indexing techniques is proposed to enable researchers to understand and select the techniques that will serve as a basis for designing a new indexing scheme. The real-world applications of the existing indexing techniques in different areas, such as health, business, scientific experiments, and social networks, are presented. Open problems and research challenges, e.g., privacy and large-scale data mining, are also discussed.

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Towards Cloud Distributed Image Indexing by Sparse Hashing

Cited by 2 publications

References 25 publications

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues

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