Omnidirectional Camera Video Encoding via Virtual Motion Vectors
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Solution Overview
Problem
Existing image compression methods for omnidirectional security cameras face challenges in efficiently compressing image data, leading to deteriorated image quality due to limited transmission or storage conditions.
Innovation Solution
The proposed solution involves an apparatus and method for decoding images that adaptively set prediction candidates for motion vectors using virtual motion vectors, calculating actual motion vectors, and performing motion compensation to enhance inter prediction coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional image compression methods are used for omnidirectional security cameras, then the data amount is reduced, but image quality deteriorates due to limited transmission or storage conditions
Solution Approach 1:
The image is divided into multiple blocks, and motion vectors are calculated and transmitted selectively for each block. This segmentation allows the system to focus compression efforts on specific regions, maintaining image quality in important areas while reducing overall data amount through selective transmission of motion compensation information.
Solution Approach 2:
The patent transmits only differential motion vectors for specific blocks rather than complete motion information for the entire image. This partial action approach reduces the data amount significantly while maintaining sufficient image quality by transmitting motion information only where necessary for accurate reconstruction.
2Productivity
If motion vector transmission is used to improve inter prediction performance, then compression efficiency is improved, but the complexity of encoding and decoding increases
Solution Approach 1:
The patent performs motion estimation and generates motion vectors during the encoding phase (preliminary action). The calculated motion vectors and their differentials are then transmitted to the decoder, which can directly use this pre-computed information for efficient reconstruction without performing complex motion estimation itself, thus improving compression efficiency while managing decoding complexity.
Solution Approach 2:
The patent uses differential motion vectors as an intermediary representation. Instead of transmitting complete motion vectors, it transmits only the difference between current and reference motion vectors. This intermediary form reduces the amount of data that needs to be encoded and decoded, improving compression efficiency while reducing the computational complexity of both encoding and decoding operations.
Data Source
AI summary
The present invention relates to an image encoding and decoding technique for a high-definition video compression method and device for an omnidirectional security camera, and more specifically, to a method and a device whereby a differential motion vector is effectively transmitted, and an actual motion vector is calculated using the transmitted differential motion vector, and thus motion compensation is performed.