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Method for efficiently processing large-scale image and video data under network environment

A large-scale data and network environment technology, applied in the field of high-efficiency processing of large-scale image and video data, can solve difficult and important problems such as multi-dimensional parameter extraction

Active Publication Date: 2015-01-07
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

Therefore, the work of multidimensional parameter extraction has become more and more important and difficult

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  • Method for efficiently processing large-scale image and video data under network environment
  • Method for efficiently processing large-scale image and video data under network environment
  • Method for efficiently processing large-scale image and video data under network environment

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[0091] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the invention.

[0092] A method for efficiently processing large-scale image and video data in a network environment, the steps of which include:

[0093] Step 1: Analyze the data characteristics of the collected massive images or video sequences, and propose an effective large-scale data reduction method.

[0094] The large-scale data reduction method includes: implementing the reduction algorithm for large-scale data according to the definition of reduction, and distinguishing between the matrix reduction algorithm and the heuristic reduction algorithm based on the importance of attributes.

[0095] ① Realize the r...

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Abstract

A method for efficiently processing large-scale image and video data under the network environment comprises the following steps that data characteristics of collected massive image or video sequences are analyzed, and an effective large-scale data reduction method is proposed; a characteristic image clustering method and a fuzzy classification method are proposed, and the massive images are classified; the images are coded, represented and classified through image or data characteristics, the images are compressed, and data modeling and transmitting are implemented; multi-dimension effective characteristic parameters of targets under the network environment are extracted. The method improves the instantaneity and the accuracy of information processing, valuable references are provided for information processing under uncertain conditions, and important theoretical reference and practical significance are achieved. The method can save resource, reduce expenditures and reduce unnecessary breakage or damage or the like, and important reference and consulting effects can be performed on the development of target identifying and tracking in military, civil and public security systems, rod traffic and the like based on video systems.

Description

technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to a method for efficiently processing large-scale image and video data in a network environment. Background technique [0002] In recent years, with the improvement of various imaging technologies and the continuous increase of corresponding data collection capabilities, more and more change data have been obtained. When massive blurred images are applied to the monitoring of military targets, when the collected large-scale When the image data is applied to the monitoring of actual targets, the application of traditional image interpretation methods can no longer meet the actual needs of information acquisition, and it is urgent to carry out research on automatic extraction of large-scale image features. [0003] In some occasions, such as infrared guidance, it is necessary to be able to intercept and lock the tracking target as soon as possible. T...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06F17/30
CPCG06F16/5838G06V10/44
Inventor 吴青娥方洁陈志武王宏丁莉芬何燕郑安平齐汝宾郑晓婉陈青华
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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