Algorithmic Intelligence Right Management Method in Video Cloud-Network Platform

Video cloud-network platform contains a huge amount of intelligent algorithms, and it is an important scientific problem to efficiently manage video cloud-network platform so as to support the rapid deployment and update of application services. However, the traditional intelligent algorithms are forcibly bounded to cloud resource, and there is no unified invocation mechanism for intelligent algorithms among different service providers, which is difficult for fast integration and effective utilization. In order to solve this problem, we propose the “service-algorithm-resource” dynamic interconnection service system, which can effectively solve the contradiction among rapid iteration of algorithm, dynamic application demand and fixed management of intelligent algorithms. In the process of dynamic interconnection services, the traditional and fixed content-oriented buyout digital rights management can no longer provide efficient services for fine-grained rights management. To this end, we propose an algorithmic intelligence right management (AIRM) system, and build “sharing-mode” intelligent algorithm right management method on the video cloud-network platform through right resource servitization method and liquidity arithmetic network structure. The actual deployment results in the China telecom video analysis platform authorization management module show that the designed method can increase the parallel algorithm service capacity by 19.9 times, and decrease the right response time by 18.36%.