Audio-video fingerprint generation method based on key frames

Abstract

The invention discloses an audio-video fingerprint generation method based on key frames. The audio-video fingerprint generation method comprises the following steps: firstly extracting a plurality of the key frames from an I-frame of video data based on a minimum vertex covering principle so as to reduce fingerprint expenditure; then by virtue of characteristics of DCT (discrete cosine transform) coefficients of the I-frame, selecting a direct current (DC) coefficient x<0> and N low-frequency alternating current (AC) coefficients x<1>, x<2>...and x<N> with minimum frequency of the key frames, generating a 0/1 sequence with N+1 digits by a quantization coding mode, converting timestamps of the key frames into a binary sequence, and placing the binary sequence in front of the 0/1 sequence with the N+1 digits so as to form a video frame fingerprint with M-1 digits for the key frames; and by virtue of characteristics of exclusive OR (XOR) operation, and uniting audio and video fingerprints into one, an audiovisual fingerprint is generated through the matching and synchronous authentication of the timestamps. The audio-video fingerprint generation method has the advantages of achieving the purpose of authenticating a plurality of media data at the same time through one fingerprint, greatly reducing the fingerprint expenditure and realizing certain error location, error detection and repair functions on problems such as incorrect playback and error playback of audio-video programs, insertion of illegal programs, program interpolation and the like.

Description

technical field [0001] The invention belongs to the technical field of network transmission content security and monitoring, and more specifically relates to a method for generating video and audio fingerprints based on key frames. Background technique [0002] With the gradual development of the network and the variety of transmission services, the requirements for the network to be "manageable, controllable, and credible" have become more stringent, and new challenges have been posed to the security and monitoring of network transmission content. Since it is easy to tamper and copy network media data with modern technology, the security and monitoring of network transmission content will be an important problem in current network research and construction. [0003] Obviously, the traditional information security technology is difficult to meet the security issues of network transmission content. For example, using information encryption technology, although illegal attack...

AI Technical Summary

Problems solved by technology

[0009] Simultaneous management and monitoring of audio and video data: Most of the existing audio and video content recognition technologies use audio or video features alone as the basis for content recognition and analysis. Obviously, in the actual application process, using a certain feature alone

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