Information processing method and system applied to network live streaming

Abstract

The invention discloses an information processing method and system applied to network live streaming, and belongs to the technical field of video live streaming. The system comprises a video collection module, a registration / logon module, a central control module, a characteristic identification module, a special efficacy rendering module, a video coding module, an anti-jittering module, a network communication module, a retrieval module and a display module. In the anti-jittering module, a gyroscope is in rigid connection with a video collector, a compensation displacement is calculated fromangular velocity data of the gyroscope, realization is simple, performance is stable, and the video anti-jittering performance can be improved; an information entropy, calculated by the retrieval module, of attribute classes can represent the video probability distribution and convergence conditions when videos in a first video set is classified according to different attributed classes, the video retrieval range can be narrowed by combining the video probability distribution and convergence conditions in different attribute classes, and the retrieval efficiency is improved.

Description

Technical field [0001] The present invention belongs to the technical field of video live broadcasting, and in particular relates to an information processing method and system applied in web live broadcasting. Background technique [0002] Webcasting draws on and continues the advantages of the Internet. It uses video-information to conduct online live broadcasts. Product demonstrations, related meetings, background introductions, program evaluations, online surveys, dialogue interviews, online training and other content can be posted on the Internet. The characteristics of intuitive, fast, good presentation, rich content, strong interactivity, unrestricted geographic area, and divideable audiences enhance the promotion effect of the event site. After the live broadcast is completed, you can continue to provide readers with rebroadcasts and on-demand broadcasts at any time, which effectively extends the time and space of the live broadcast and maximizes the value of the live bro...

AI Technical Summary

Problems solved by technology

[0004] (1) The stability of the existing live broadcast is not good. The resolution of traditional cameras for infrared images is low, and the images cannot be effectively binarized. Frequency jitter, which brings a bad experience to video perception, compression coding, content analysis and detail recognition

[0005] (2) The traditional SIFT algorithm has a large amount of computation in the feature matching process, and the matching is time-consuming, resulting in low efficiency of face recognition and matching during the live broadcast process, and cannot quickly find the video that the user wants to watch. Video retrieval less efficient

[0006] (3) The traditional wireless communication encryption method is simple, and it is easy to lose data during the process of information data transmission, and it is difficult to load, which makes the network live broadcast unable to proceed smoothly

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