Data reorganization method capable of reserving time sequence and video structuring system

A data reorganization and data technology, applied in the field of data processing, can solve the problems that objects cannot be synthesized into the same video summary, the original data timing is not preserved, and the difficulty of real-time system is increased, so as to avoid the problem of parameter adjustment and achieve good time compression effect. , the effect of short video duration

Active Publication Date: 2013-01-02
深圳市华尊科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are three main disadvantages in such a method: firstly, the amount of calculation or calculation time will increase exponentially with the increase of the number of objects, resulting in a large difference in the processing time of videos with different contents. Not suitable for real-world applications
However, such a processing method will cause objects in different time periods to be unable to be synthesized into the same video summary, so it is not suitable for real-time systems
The third is that

Method used

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  • Data reorganization method capable of reserving time sequence and video structuring system
  • Data reorganization method capable of reserving time sequence and video structuring system
  • Data reorganization method capable of reserving time sequence and video structuring system

Examples

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Example Embodiment

[0029] Example one:

[0030] Please combine figure 1 , figure 2 As shown, this example takes the reorganization of a video stream as an example to illustrate the reorganization method.

[0031] Realize object connection: For each object appearing in a certain video stream, the objects are grouped into different groups according to the principle of temporal and spatial connectivity and correlation. The specific method of grouping can be different according to different priorities, different objects of interest, or different needs for data reorganization. Since the specific induction method of the group is only calculated for the relevance of time and space, it can be ensured that the two related objects appearing in the A video and the B video at the same time are classified into the same group.

[0032] For example, in a certain video, the first object A person and the second object B vehicle appear in adjacent positions of the video scene at the same time, it is determined that th...

Example Embodiment

[0038] Example two

[0039] In this example, based on the first embodiment, if the user wants to receive more things at the same time and pay attention to more groups or objects, he can preset the reorganization density parameter to limit the reorganization at the same time. The minimum number of objects allowed. The purpose of setting the density parameter is to provide users with a flexible choice. If the user can receive more things at the same time, the density parameter can be set larger. If the user can receive fewer things at the same time, he should change The density parameter is set smaller.

[0040] Please refer to image 3 with Figure 4 As shown, suppose the density parameter is 2,

[0041] First moment: select the first group at this moment, because B appears two times later than A, so A appears but B does not appear; because the density parameter is 2, select the object of the second group with the closest appearance time, Since the original timings of objects C and...

Example Embodiment

[0046] Example three

[0047] Please refer to Figure 5 As shown, assuming that the density parameter is 3,

[0048] The first moment: select the first group at this moment, because B appears two times later than A, so A appears, but B does not appear; because the density parameter is 3, select the nearest second group, C and D The original sequence appears at the same time. To ensure the relevance of C and D, both C and D appear, and the number of objects meets the density parameter 3 or greater, so EF is not sorted at this time.

[0049] The sixth moment: Since the CD is completed, only AB is left for sorting. The number of objects is 2, which is less than the density parameter 3. Therefore, the C group is selected, so the sorting result at the sixth moment is ABF.

[0050] The reorganization method in this example can be widely used in video structured (summary) systems, video surveillance systems, and data compression systems (including audio, video, pictures, and text, etc.). Fr...

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Abstract

The invention discloses a data reorganization method capable of reserving time sequence and a video structuring system. The data reorganization method comprises a data extraction process and a data merging process, wherein the data extraction process comprises the step of respectively extracting data related to objects in the same group from original data; and the data merging process comprises the steps of ordering and merging the data related to the objects in the same group according to the time sequence to form reorganized data with the original time sequence being reserved. Since the complexity of the algorithm provided by the invention is low, the consumed computation resources are fewer and the processing time is linearly and positively correlated to the number of input data, the algorithm is very easy to realize on software or hardware. Since the input and output results of group data have FIFO (first in first out) characteristics, the reorganized data maintains the input time sequence to a certain extent and the data reorganization method is suitable for a real-time system.

Description

【Technical field】 [0001] The invention relates to data processing, in particular to a data reorganization method. 【Background technique】 [0002] In the field of traditional video surveillance, if you want to find a certain event, object or person, you generally need to manually backtrack the video and watch a large amount of video content to find the target event, object or person. The search time is often equal to the length of the video. For example, to find a certain object from a 3-hour video, the surveillance personnel must spend the same 3 hours watching this video to find the target object, even through fast forwarding. To watch the video, the time that can be compressed is also limited (usually 4 times is the limit), and it is easy to cause missed viewing, especially for faster or smaller objects. [0003] In the field of data processing, in many cases, reorganizing the original data first can better store and express the data content, and can also save the amount ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 施欣欣余倬王蒙
Owner 深圳市华尊科技股份有限公司
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