An Online Sharing Method of Video and Audio Interactive Behavior Data Based on Multi-scene Sequence Matching
When video and audio are shared in multiple scenes,there is much interference.Hence,an online sharing algorithm of interactive behavior data based on unicast stream and multicast stream is proposed to effectively solve the problem.Because the network has a self-protection mechanism and there are sharing obstacles,it is necessary to collect historical data to establish a security protection function,calculate video and audio texts of different sizes and degrees of privacy in combination with the network traffic surplus theorem,record the changes of traffic during each authentication,and set the authentication threshold.According to the interactive behavior characteristics of video and audio,the observation sequence is established,and the scene with the highest matching degree is found according to the eigenvalue.Combined with the resource gain generated by video and audio during each sharing,the corresponding bandwidth of resource gain in the form of unicast stream and multicast stream are calculated respectively to generate the sharing sequence with the highest fitness.Experiments show that the proposed method can achieve accurate sharing of video and audio data in the form of unicast stream and multicast stream,with good efficiency and low sharing cost,and has high practical value.
multi-scene sequence matchinginteractive behavior dataonline sharingobservation sequenceresource gain
万方数据
维普
