Video compression method and device, computer equipment and storage medium

By extracting multimodal features and adjusting dynamic quantization parameters, the problems of low efficiency and high complexity in existing video coding technologies for ultra-high-definition video are solved, achieving a balance between video compression efficiency and complexity, optimizing resource allocation, and improving picture quality.

CN121967706APending Publication Date: 2026-05-01HANGZHOU NORMAL UNIVERSITY
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Patent Information

Application Number
CN202610009837.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-06
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing video coding technologies suffer from limitations in compression efficiency, high coding complexity, and inability to adapt to dynamic changes in content when dealing with ultra-high definition and high dynamic range videos. This leads to problems such as flickering in reconstructed video images, increased artifacts, and uneven resource allocation.

Method used

By extracting multimodal features, including spatiotemporal features, depth features, and motion features, an entropy value is generated to quantify the complexity of video content. The quantization parameters and bit allocation strategy are dynamically adjusted in combination with the video frame type and entropy value to achieve video frame classification and context management, and optimize the allocation of encoding resources.

Benefits of technology

It improves the issues of flickering and artifacts in reconstructed images, achieves a balance between video compression efficiency and complexity, avoids insufficient bitrate in important areas and waste of bitrate in simple areas, and optimizes overall encoding efficiency and computational complexity.

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Abstract

The invention discloses a video compression method and device, computer equipment and a storage medium, and the method at least comprises the steps: collecting video data, and carrying out the preprocessing to obtain a standard video sequence; performing framing processing and classifying video frames; performing multi-modal feature extraction to obtain feature data including spatio-temporal features, depth features and motion features, and generating an entropy value for quantifying video content complexity; determining a coding strategy for the video frame based on the video frame type and the entropy value, the coding strategy comprising a quantization parameter; and encoding according to the encoding strategy and outputting a compressed code stream. The method has the advantages that video frame classification and context management can be effectively realized on the basis of multi-modal features, local texture details and long-distance space-time dependence are considered, space-time features, depth features and motion features are effectively integrated to generate entropy representing content complexity, different coding and dynamic bit allocation strategies are realized on the basis of frame types and the entropy, and the coding efficiency is improved. And the balance between the compression efficiency and the complexity of video compression is ensured.
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