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Block chain copyright confirmation method based on video gene

A blockchain and video technology, applied in digital data authentication, program/content distribution protection, etc., can solve problems such as low video content comparison efficiency, achieve good promotion and application value, fast video rights confirmation, and small footprint Effect

Pending Publication Date: 2022-07-22
SHANDONG ARTAPLAY INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the needs of searching for the same video content, such as video segment search, video attribution confirmation, and video content source tracing, using the existing video gene algorithm is too low in terms of video content comparison efficiency

Method used

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  • Block chain copyright confirmation method based on video gene
  • Block chain copyright confirmation method based on video gene
  • Block chain copyright confirmation method based on video gene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Step b) includes the following steps:

[0053] b-1) Perform frame down processing on the original video. One is to unify the video gene frame rate of the video library, and the other is to reduce the computational overhead of video gene encoding.

[0054] b-2) Extract the binarized feature value for each frame of the original video after frame reduction processing. First image binarization feature value results cannot obtain the low frequency of the real image, but as long as the overall structure of the picture remains unchanged, the result value of its binarization feature remains unchanged. This process can avoid image scale, resolution, The impact of content adjustments such as watermarks, corner marks, subtitles, gamma correction, and color histograms.

[0055] b-3) Calculate the Hamming Distance (HammingDistance) between the image features of each frame of the encoded video work, truncate the feature where the Hamming distance is greater than 10% of the total le...

Embodiment 2

[0058] as attached figure 2 As shown, step b-2) comprises the following steps:

[0059] b-2.1) Remove the black borders around each frame of the original video after frame reduction. Discard the differences brought about by videos of different scales.

[0060] b-2.2) Reduce the image to a size of 8×8 pixels, and discard the differences caused by different sizes.

[0061] b-2.3) Convert the reduced image to grayscale.

[0062] b-2.4) The grayscale image is subjected to discrete cosine transform (DCT) of 16×16 resolution. After DCT transformation, the low-frequency part of the image is concentrated in the upper left corner, and this part of the information contains the low-frequency content of the image; the other parts are the high-frequency content of the image details.

[0063] b-2.5) Retain the content of the 8×8 matrix in the upper left corner of the image after discrete cosine transformation, and discard other high-frequency content.

[0064] b-2.6) Calculate the gra...

Embodiment 3

[0067] In step b-3), the shot descriptor includes the position in the video where the video shot is located, the number of frames contained in the video shot, the feature value of the first frame image of the video shot, and the Hamming distance between the feature values ​​of each frame image .

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PUM

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Abstract

The invention relates to a video gene-based block chain copyright confirmation method and a method for carrying out block chain copyright confirmation by using a video gene, which are suitable for scenes and fields such as video clip search, video copyright confirmation, video content traceability and the like. According to the method, videos or video clips similar to the content of the target video can be quickly searched from a massive video library, and differences caused by video resolution, watermarks, corner marks, subtitles, gamma correction, color histogram adjustment and the like can be ignored. The method has the characteristics of small video gene generation operand, small occupied space of video gene data, high video right confirmation speed, incapability of tampering a block chain right confirmation result and the like, is suitable for scenes of video copyright confirmation, video copyright transaction, video content tracing and the like, and has good popularization and application values in the aspect of video service application.

Description

technical field [0001] The invention relates to the fields of video segment search, video copyright confirmation, and video content traceability, in particular to a blockchain copyright confirmation method based on video genes. Background technique [0002] Copyright (copyright) refers to the rights that authors of literary, artistic, or scientific works have over their works. Copyright is a type of intellectual property that consists of works in the natural and social sciences, as well as literature, music, drama, painting, sculpture, photography, and cinematography. There are two ways to acquire copyright: automatic acquisition and registered acquisition. In China, according to the Copyright Law, a work is automatically copyrighted when it is completed. The so-called completion is relatively speaking. As long as the object of creation has met the statutory conditions for constituting a work, it can be protected by the Copyright Law as a work. For the copyright obtained ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/10G06F21/16G06F21/31G06F21/46
CPCG06F21/10G06F21/16G06F21/31G06F21/46
Inventor 赵明刘永辉房兰涛谢恩鹏刘旭
Owner SHANDONG ARTAPLAY INTELLIGENT TECH CO LTD