Media television reception effect feedback collecting method realized through sound channel

Abstract

The invention provides a media television reception effect feedback collecting method realized through a sound channel. The method is characterized in that an intelligent mobile terminal is used, through the sound channel and a network channel of an audio and video program, the audience television reception or listening conditions of the audio and video program are collected in a mode of detecting feature information in the program sound, so the television reception effect feedback is collected. When the method is used, an economical and efficient program playing information feedback system can be built, the system can change the current condition that the television program is in one-way playing, and the concrete audience television reception state cannot be known in time, an information feedback closed loop is built between a television station and the television audience, the television reception state of the television audience can be automatically fed back in real time, and in addition, relevant personalized media contents can be pushed according to the television reception preference of the television audience.

Description

technical field [0001] The invention relates to a method for collecting media viewing effect feedback through an audio channel, in particular, using an intelligent terminal to realize audio or video program listening or feedback of viewing effects, and to realize personalized interaction between a media playback unit and listeners or viewers . Background technique [0002] With the development of network media technology, media audiences are now faced with a large number of entertainment media channels to choose from. On the one hand, traditional TV programs are facing competition from new media represented by the Internet. On the other hand, there are currently many TV channels. The homogeneity of the content of the programs among them is greater than the differentiation, and the competition among the industries is becoming more and more fierce. Under such circumstances, it is especially important to grasp changes in viewers' viewing preferences in a timely manner, adjust ...

AI Technical Summary

Problems solved by technology

[0006] These two methods have their own obvious defects. The diary method relies on the sample households to consciously fill in accurate data, and the workload of manual statistics is heavy. Human factors affect the objectivity and accuracy of the data. It usually takes about two weeks to get the statistical results.

The measurement method needs to install special equipment in the sample user's home, which is relatively expensive and not suitable for large-scale promotion. The data is generally available every other day

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