Underground video coding method and device
By using lossless reconstruction of downhole video and application of spatial and temporal significance model based on human visual perception mechanism, the problems of visual redundancy and uneven distribution of code rates in downhole video surveillance are solved, and efficient coding and excellent visual experience are achieved.
CN119653091APending Publication Date: 2025-03-18ZHENGZHOU HENGDA INTELLIGENT CONTROL TECHNOLOGY CO LTD
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Patent Information
- Application Number
- CN202411783333.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
The prior art ignores the subjective visual experience of video images after decoding in downhole video surveillance, resulting in excessive visual redundancy, uneven bit rate allocation and poor subjective visual perception effect.
Method used
By performing lossless reconstruction of downhole videos based on human visual perception mechanism, a time-space significance model is obtained, and bit allocation and bit rate allocation of the to-coded video data based on this model to determine the coded data of the downhole video stream.
Benefits of technology
It significantly improves coding efficiency and visual experience, eliminates visual redundancy, reduces code rate, and alleviates downhole bandwidth pressure.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to an underground video coding method and device, and the method comprises the steps: obtaining to-be-coded video data based on the perception capability evaluation and video reconstruction of an underground video stream; obtaining a time-space domain saliency model based on the human eye visual perception structure; and carrying out bit allocation and code rate allocation on the to-be-coded video data based on the time-space domain saliency model, and determining coded data corresponding to the underground video stream. The underground video is subjected to lossless reconstruction based on a human visual perception mechanism, so that the visual redundancy is removed, the code rate is reduced, and the underground bandwidth is relieved; bit allocation and code rate allocation are performed on the to-be-coded video data through the time-space domain saliency model, so that the coding efficiency and the visual experience degree are remarkably improved, and the method has wide application value.
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