Hadoop-platform-based method for improving video transcoding efficiency

A video transcoding and platform technology, applied in TV, selective content distribution, electrical components, etc., can solve problems such as load imbalance, large network bandwidth consumption, etc., to prevent the emergence of hot spots, cheap storage, and fast video transcoding Effect

Inactive Publication Date: 2013-09-11
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem solved by the present invention is to construct a method for improving the efficiency of video self-adaptive technology, and overcome the problems of high concurrency in video transcoding, synchronization of video segments, video merging, high consumption of network bandwidth and traffic, and unbalanced load

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  • Hadoop-platform-based method for improving video transcoding efficiency
  • Hadoop-platform-based method for improving video transcoding efficiency
  • Hadoop-platform-based method for improving video transcoding efficiency

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Such as figure 1 As shown, a method for improving video transcoding efficiency based on hadoop platform includes the following steps:

[0041] Step 100: The video job configuration module processes the video processing configuration information input by the user, packs the video processing tasks into job objects and sends them to the job queue management module, and then the video job configuration module notifies the video segmentation module to segment the original video.

[0042] Step 200: After the video segmentation module divides the video, it sends the segmentation result to the video transmission module.

[0043] Step 300: The video transmission module uploads the divided files to the distributed file system HDFS.

[0044] Step 400: The job queue management module monitors the job queue, takes out job objects from the job queue, constructs parallel fra...

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Abstract

The invention provides a hadoop-platform-based method for improving video transcoding efficiency and relates to hadoop-platform-based technologies for improving video adaptive technology efficiency. The hadoop-platform-based method for improving the video transcoding efficiency comprises subjecting a video file to storage segmentation processing through a hadoop platform; subjecting video clips generated by segmentation to FFmpeg (Fast forward moving pictures experts group) transcoding; and consigning transcoding results to an HDFS (Hadoop Distributed File System) for video clip combination, and accordingly transcoding tasks of a large amount of video data can be completed efficiently. According to the efficient video transcoding of the hadoop-platform-based video adaptive technology, the video transcoding speed is fast, the network bandwidth traffic consumption is low, the load balancing processing is appropriate and the transcoding time consumption is reduced significantly.

Description

technical field [0001] The invention relates to a technology for improving video adaptive efficiency, in particular to a technology for video transcoding based on a hadoop (distributed system infrastructure) platform. Background technique [0002] As a typical network service, video service has a broad market development scale and great development potential. However, video processing requires relatively high computing power, and video encoding and decoding and real-time processing require a large number of spatial and frequency domain transformations. The timeliness itself requires relatively strong timeliness, which poses a great challenge to computing power. With the continuous development of the Internet and mobile phone networks and the increase of multimedia platforms, the requirements for content formats are also different, and the requirements for video encoding formats, encoding specifications, frame rates, and resolutions are very different. Therefore, the transcod...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/234H04N7/26H04N21/845H04N21/8547
Inventor 何震宇葛百根史梦龙胡文毅薛鸿杰
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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