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A Redundancy Removal Method for Video Big Data Based on Information Divergence

A technology of information divergence and deletion method, which is applied in the field of redundancy deletion

Active Publication Date: 2019-05-14
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Whether it is source and target redundant data deletion, offline, near-line and online deletion, file-level and block-level deletion, or primary storage and secondary storage deletion, the object of redundant data deletion is almost all deduplication. Repeated and associated redundant data means that a data object can be represented by other data objects, and the above-mentioned various data deletion technologies are helpless

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  • A Redundancy Removal Method for Video Big Data Based on Information Divergence
  • A Redundancy Removal Method for Video Big Data Based on Information Divergence
  • A Redundancy Removal Method for Video Big Data Based on Information Divergence

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Embodiment Construction

[0066] figure 1 It is an overall flow chart of the present invention, and its specific implementation steps are as follows:

[0067] The first step is to normalize the video big data. The specific method is as follows:

[0068] 1.1 The video big data is represented by the video big data set V,

[0069] V ∈ R L×N , video big data is presented in digital form, R means real number, R L×N Represents a real number matrix with a scale of L×N, each video is composed of multiple video image frames, N is the number of videos in V, L is the maximum number of video image frames in N videos in V, Both L and N are positive integers, V i Represents the vector set composed of the i-th video image frame of N videos in V, referred to as video image frame vector, 1≤i≤L, V i =[v i1 ,v i2 ,...v ij ,...v iN ],v ij means V i In the i-th video image frame of the j-th video, v ij is a real number, 1≤j≤N;

[0070] 1.2 Put V in V 1 ,V 2 ,...,V i ,...V L Perform normalization to obta...

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Abstract

The invention discloses a method for deleting video big data redundancy based on information divergence, and is aimed at providing a redundant video data deleting method, saving storage capacity, reducing the analysis time of video big data, improving the efficiency of maintenance and management of video big data. According to the technical scheme, first video big data are expressed with a video big data set V; the V is normalized; then the K-L divergence for a video image frame vector and an information quantity distribution matrix M_L are defined; the contribution of each video image frame vector to the information quantity of the V is confirmed; a redundant video image frame making the smallest contribution to the information quantity is deleted from the V. The method can alleviate the storage pressure of video data, improve the storage efficiency of video data, speed up the calculation and analysis rate of video big data, and improve the operational efficiency of the whole big data video application system.

Description

technical field [0001] The invention relates to a redundant deletion method, in particular to a redundant deletion method of large video data in the information field. Background technique [0002] With the continuous advancement of social informatization, information storage applications have become more and more extensive. In the past five years, the amount of global digital information has grown rapidly, and it has risen from the previous TB level to the PB level, or even the EB level. With the advent of the era of big data, data growth will be the biggest challenge for large enterprises to deploy 1T facilities. With the continuous increase of data scale and volume, on the one hand, huge sums of money need to be invested in the purchase of storage capacity; on the other hand, data calculation and analysis Operating costs will also increase significantly. [0003] Studies have shown that as much as 80% to 90% of the data stored in application systems such as backup and ar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/76H04N5/91
CPCH04N5/76H04N5/91
Inventor 甘新标刘杰杨灿群徐涵胡庆丰龚春叶李胜国邹丹晏益慧黄嘉昆熊成伟
Owner NAT UNIV OF DEFENSE TECH
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