A resource occupation prediction method in a video special effect processing process

By collecting and normalizing the temporal intervals of video effects frames and the distribution of video memory fragments, the temporal coupling factor of effects and the pipeline congestion loss factor are calculated. This solves the problem of large prediction deviations in resource usage in video effects processing, and achieves accurate prediction of resource usage and improved rendering stability.

CN122420599APending Publication Date: 2026-07-17SHANGHAI NENGXIA TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI NENGXIA TECHNOLOGY CO LTD
Filing Date
2026-04-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies fail to accurately consider the combined effects of inter-frame temporal coupling, GPU rendering pipeline blockage, and video memory fragmentation during video effects processing, resulting in large deviations in resource usage prediction and problems such as rendering stuttering, video memory overflow, or resource waste.

Method used

By collecting the time interval of video effect frames, the proportion of GPU rendering pipeline threads, and the proportion of video memory fragmentation, dimensionless normalization processing is performed to calculate the effect frame time normalization factor and effect overlay level. Combined with the effect time coupling factor and pipeline congestion loss factor, the total resource usage prediction value is calculated and output.

Benefits of technology

It achieves accurate prediction of video effects resource usage, ensures rendering stability, avoids resource waste and video memory overflow, and improves the stability and efficiency of video effects processing.

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Abstract

The application relates to the technical fields of multimedia image processing, GPU computing power scheduling and soft power-on resource optimization, and discloses a resource occupation prediction method in a video special effect processing process, which is executed by a terminal built-in processor and comprises the following steps: collecting a video special effect frame time interval, a GPU rendering pipeline thread occupation ratio and a video memory fragment distribution ratio; performing dimensionless normalization processing on the video special effect frame time interval to obtain a special effect frame time normalization factor; counting a special effect superposition level; and calculating a special effect time coupling factor, a pipeline blocking loss factor and a total resource occupation prediction value and outputting the total resource occupation prediction value. The application solves the problem of large prediction deviation in the prior art, realizes accurate prediction through a core innovation point, guarantees reasonable allocation of video special effect rendering resources, and improves rendering stability.
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