Method and system for optimizing media-on-demand based on real-time file format conversion

Abstract

The invention discloses a method and system for optimizing media-on-demand based on real-time file format conversion, and realizes transmission of a small data set video file header through quick file format conversion, so that the repeated multiplexing of a file by a server can be realized. The method adopts a technical scheme as follows: a client transmits an http request of a file to a server; and after receiving the http request, the server analyzes the http request to find out the file corresponding to the http request; and after determining that the network broadcasting quality of the file is lower than an expected value, the server starts real-time file format conversion, converts the data encapsulation format of the file to maintain basic coding and decoding information in accordance with file transmission in a file header, and transmits the file subjected to the data encapsulation format conversion to the client to play.

Description

technical field [0001] The invention relates to optimization technology of streaming media on demand, in particular to a method and system for optimizing streaming media on demand through real-time file format conversion. Background technique [0002] VOD (video on demand) based on the HTTP protocol is currently a more popular way of streaming media on demand, and users can watch video files in various formats (mp4, flv, etc.) in this way. When the client needs to play a certain video, it sends an http request to the http server through the player, and the server sends the video file to the client through the http protocol after receiving the request. [0003] There are following deficiencies in existing this mode: [0004] (1) Different file encapsulation formats of the same video and audio data have different emphases in playback performance. Some encapsulation formats store all codec information and playback information in the file header. This format performs well in l...

AI Technical Summary

Problems solved by technology

[0006] (3) Video transcoding in the usual sense requires decoding and re-encoding of video and audio data. This process will consume a lot of cpu computing resources, especially for advanced encoding methods (such as h264), the amount of re-decoding and encoding calculations is very high. huge

Therefore, on the one hand, this method has very high requirements for computing power, and on the other hand, due to the complexity of computing, real-time performance cannot be fully guaranteed.

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