Audio and video matching zero watermark generation method and audio and video tamper-proofing detection method
An audio-video, zero-watermark technology, applied in the field of audio-video matching zero-watermark generation, can solve the problems of video quality degradation, undetectable audio-video cross-watermarking scheme, not considering whether audio and video match, etc.
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Embodiment 1
[0086] Such as figure 1 As shown, the present embodiment 1 has described a method for generating an audio and video matching zero watermark, which includes the following steps:
[0087] a. Decode the audio and video stream, and segment it in units of time t1 to obtain the segmented audio and video segment collection {I(i), x(i)}, i=1...n, such as figure 2 shown.
[0088] Wherein, I(i) and x(i) are respectively the i-th video segment after decoding and the audio segment corresponding to the video segment.
[0089] Assuming that t1 is 1s, that is, segmenting is performed in units of 1s.
[0090] Wherein, the audio segment x(i) corresponding to each video segment in the audio and video segment collection is processed according to the following step b; at the same time, for each video segment I(i) in the audio and video segment collection, follow the following steps c for processing.
[0091] b. If Figure 4 As shown, the encrypted sound watermark is generated, and the speci...
Embodiment 2
[0164] Such as Figure 6 As shown, Embodiment 2 describes an audio and video anti-tampering detection method.
[0165] I. Decode the audio and video stream to be verified, and segment it in units of time t1 to obtain a collection of audio and video segments to be verified; wherein, the collection of audio and video segments to be verified includes the video segment to be verified and its corresponding audio to be verified part.
[0166] Here, the time t1 is, for example, 1s, that is, segments are performed in units of 1s.
[0167] II. Extract the key frame image of the video segment to be verified according to the saved frame number, and obtain the video feature matrix to be verified based on the key frame image. The concrete process of this step II is as follows:
[0168] (1) Extract the key frame image of the corresponding video segment according to the stored key K1.
[0169] (2) Find the new Zernike moment A' of the key frame image, and calculate the key frame rotation...
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