Hash length: a neglected element

Hash length: a neglected element Multimed Tools Appl https://doi.org/10.1007/s11042-018-6221-0 1,2 1,3 3 1,4 Haifeng Qi & Jing Li & Qiang Wu & Wenbo Wan & 1,4 Jiande Sun Received: 15 March 2018 /Revised: 21 May 2018 /Accepted: 28 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Hash representation has attracted increasing attentions in recent years, but hash length is still a neglected element in the evaluation of hashing. Hash length is the dimension of hash representation, which is important for the performance of video hash. In this paper, we try to define the optimal hash length according to the probability of collision (PoC) of hash. Based on this definition, we demonstrate that this optimal hash length can be predicted from a small portion of dataset, which could be a reference for practical applications. The verification experiments are performed on several classical hashing methods in the case of video copy detection on different datasets. The experimental results show that each hash method has its own optimal hash length, and the performance can be improved as the length increases. . . Keywords Hash length Probabilities of collision (PoC) Optimal length 1 Introduction Caused by the popularization of multimedia and social software, dramatic http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Hash length: a neglected element

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6221-0
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6221-0 1,2 1,3 3 1,4 Haifeng Qi & Jing Li & Qiang Wu & Wenbo Wan & 1,4 Jiande Sun Received: 15 March 2018 /Revised: 21 May 2018 /Accepted: 28 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Hash representation has attracted increasing attentions in recent years, but hash length is still a neglected element in the evaluation of hashing. Hash length is the dimension of hash representation, which is important for the performance of video hash. In this paper, we try to define the optimal hash length according to the probability of collision (PoC) of hash. Based on this definition, we demonstrate that this optimal hash length can be predicted from a small portion of dataset, which could be a reference for practical applications. The verification experiments are performed on several classical hashing methods in the case of video copy detection on different datasets. The experimental results show that each hash method has its own optimal hash length, and the performance can be improved as the length increases. . . Keywords Hash length Probabilities of collision (PoC) Optimal length 1 Introduction Caused by the popularization of multimedia and social software, dramatic

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 2, 2018

References

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