Copyright video whole-network viewing record system based on block chain technology

Abstract

The invention relates to a copyright video whole-network viewing record system based on a block chain technology. The system comprises a plurality of video playing information generation plug-ins, a plurality of video playing information record devices and a plurality of video whole-network viewing record generation devices; video playing conditions of various terminals are accurately obtained through the video playing information generation plug-ins installed on a video playing node; furthermore, distributed accounting on video viewing records is carried out through the block chain technology; obtained data is accurate and reliable, and cannot be tampered; therefore, a public trusty viewing record bill is obtained; whole-network viewing big data is formed; precise data analysis can be provided for various mechanisms; simultaneously, viewing record fraud behaviours, such as imitative viewing, can be conveniently found through data comparison analysis; therefore, spiritual and culturalneeds of the masses can be easily known most precisely; and people-centred creative guidance can be well persisted.

Description

technical field [0001] The invention belongs to the field of communication technology, and in particular relates to a system for viewing and recording copyright videos on the entire network based on block chain technology. Background technique [0002] Ratings are the main basis for advertisers to invest in TV programs, and they are also an important basis for judging the broadcasting effect of TV programs and improving programs. Therefore, the survey of ratings records is of great significance to the media industry. At present, there are different viewing record collection methods for different types of viewing channels, which can be simply divided into digital TV, OTT of network operators, and video website data, but no matter what kind of viewing record collection methods are very complicated, and It is very labor-intensive and material resources-intensive, and there is still a huge risk in the ratings obtained. It has become a kind of unspoken rule that the ratings are p...

AI Technical Summary

Problems solved by technology

At present, there are different viewing record collection methods for different types of viewing channels, which can be simply divided into digital TV, OTT of network operators, and video website data, but no matter what kind of viewing record collection methods are very complicated, and It is very labor-intensive and material-intensive, and there is still a huge risk in the ratings obtained. It has become a hidden rule that the ratings are polluted or even manipulated.

To sum up, the current rating statistics method has the following defects: 1. The data is only passed through the statistical network controlled by a single centralized enterprise, and the data is extremely vulnerable to human influence and tampering; Sample pollution; 3. Statistical data results lack a mutual supervision and control mechanism, and the statistical data method is opaque; 4. Viewing channels are scattered and controlled by different service providers, making it difficult to summarize and obtain accurate data

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