Method and system for dynamic bitrate allocation accounting for parallel multi-pass video encoding

By identifying the target object domain of parallel video streams and calculating their semantic importance level and complexity score, the problem of uneven resource allocation in multi-channel video coding is solved, achieving efficient and accurate bitrate allocation and video quality assurance under total bandwidth constraints.

CN122160511APending Publication Date: 2026-06-05STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD NINGBO POWER SUPPLY CO
Filing Date
2026-05-09
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing multi-channel video coding technologies cannot allocate resources according to the actual information value of each channel, resulting in key information becoming blurred due to insufficient bitrate, while non-key information wastes bandwidth. They cannot balance global bitrate allocation optimization and semantic awareness, resulting in low coding efficiency.

Method used

By identifying the target object domain of the video stream, and combining the semantic importance level, internal coding complexity, and area of ​​the target object domain, the video stream complexity score is calculated to obtain the target bitrate, thereby achieving precise allocation of bitrate resources and ensuring that the clarity of key information is not affected.

Benefits of technology

It improves resource utilization and encoding efficiency, takes into account the value of video content, and achieves a balance of quality and clarity of video streams in each channel without changing the total bandwidth.

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Abstract

The application discloses a dynamic bit rate allocation method and system considering parallel multi-channel video encoding, comprising the following steps: distributing the obtained multi-channel parallel power monitoring video stream to the corresponding video encoding channel based on the channel mapping relationship, and performing object domain type and encoder capability identification; determining the target object domain of the video stream, and determining the semantic importance level of the target object domain; combining the semantic importance level of the target object domain, the internal encoding complexity and the area characteristics to calculate the video stream complexity score; determining the code rate allocation strategy based on the video encoding channel attribute, solving the optimal code rate allocation scheme based on the code rate allocation strategy according to the video stream complexity score to obtain the target code rate; and matching the optimal key parameters of the video encoder according to the target code rate to compress and encode the video stream. The application can effectively balance the video quality of each channel, improve the code rate resource utilization rate and the encoding efficiency, and take into account the video content value.
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Citation Information

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