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A new audio-visual program advertising delivery method

A delivery method and ad delivery technology, applied in the field of video labeling, can solve the problems of unfavorable player-side rapid processing, large amount of calculation, and complexity, and achieve the effect of rich content, low calculation amount and accurate matching

Active Publication Date: 2019-02-26
GLOBAL TONE COMM TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing audio hash technology is based on the calculation of complex features such as linear prediction and MFCC. It is designed to prevent tampering. It is complex and has a very large amount of calculation, which is not conducive to fast processing on the player side.

Method used

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  • A new audio-visual program advertising delivery method
  • A new audio-visual program advertising delivery method
  • A new audio-visual program advertising delivery method

Examples

Experimental program
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Effect test

Embodiment 1

[0019] Embodiment one, such as figure 1 As shown, a novel audio-visual program advertisement delivery method includes:

[0020] Step 1, monitor and analyze the output of the audio broadcasting device;

[0021] Step 2, calculate the voice hash value in real time;

[0022] Step 3: Compare the voice hash value with the voice hash value of the audio-visual program in the advertisement annotation library, find the corresponding advertisement content, and display it on the screen.

[0023] The technology of the present invention has very low calculation amount, no complicated calculation, accurately matches the labeling information according to the corresponding relationship between the hash feature of the video file and the labeling content information of the video file, and is convenient for playing. When a user uses a playback device, regardless of the player used, as long as the sound output is turned on, the content-related advertisement can be loaded.

[0024] The present i...

Embodiment 2

[0025] Embodiment two, such as Figure 6 As shown, on the basis of Embodiment 1, more preferably, the first step is to monitor and analyze the output of the audio broadcasting device; specifically, it includes recording the sound samples of the audio broadcasting device for a period of time, and normalizing them into a same Frequency of sound samples. Normalizing to a sound sample of the same frequency facilitates analysis of sound samples.

[0026] More optimally, it is normalized to a sound sample of the same frequency, the optimal sound sample is 8000HZ. Calculate the zero-crossing rate and perform matching at a lower sampling frequency. These subtle changes have little effect on matching.

[0027] More preferably, the second step is to calculate the voice hash value in real time; specifically, it includes calculating the one-way zero-crossing voice hash value of the sound samples in the past t time. In the oscillogram of voice data, the horizontal axis is the 0 axis, an...

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Abstract

The invention discloses a novel audio-visual program advertisement broadcasting method, relates to the technical field of video annotation, and solves the technical problems that the amount of computation is large and the computation speed is slow in the prior art. The method of the technical scheme comprises the steps of: step 1, monitoring and analyzing output of audio broadcasting equipment; step 2, calculating a voice hash value in real time; and step 3, comparing the voice hash value with a voice hash value of an audio-visual program in an advertisement annotation library, searching a corresponding advertisement content, and displaying the advertisement content on a screen.

Description

technical field [0001] The invention relates to the technical field of video tagging, in particular to a novel audio-visual program advertisement casting method. Background technique [0002] Perceptual hashing is usually used to match multimedia content with similar content. Perceptual hashing can uniquely map multimedia numbers with the same perceptual content into a digital summary, which can maintain the robustness of the operation and the discrimination against content tampering, and meet the requirements of one-way and anti-collision. Perceptual hashing has been widely used in content-based multimedia identification and retrieval. [0003] When an audio-visual program content is played on different websites and TV stations using different equipment, its bit rate, audio encoding algorithm, audio sampling format, audio sampling rate, and sound intensity will change. Files may be cropped, watermarks, advertisements, etc. may be added to the screen. This puts forward hi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/432H04N21/439H04N21/442H04N21/458H04N21/81G06F16/60
CPCG06F16/632H04N21/432H04N21/4394H04N21/442H04N21/458H04N21/812
Inventor 程国艮王语
Owner GLOBAL TONE COMM TECH
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