Video Encoding Data Chunk Indexing for Vehicle Sensors
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Solution Overview
Problem
Existing video compression algorithms for image data from vehicle image sensors often result in loss of image detail and difficulty in efficient indexing, compromising the safe and efficient operation of vehicles relying on this data.
Innovation Solution
The technique involves creating data chunks from image frames with associated metadata, where critical sub-regions remain uncompressed or are compressed using lossless algorithms, while other portions are compressed using lossy algorithms, allowing for efficient storage and quick access based on timestamps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video compression algorithms are applied to reduce storage requirements, then storage efficiency is improved, but image detail quality deteriorates
Solution Approach 1:
The patent applies different compression strategies to different regions of the video data based on their importance. Critical sub-regions containing essential image details are preserved with high quality or left uncompressed, while non-critical regions undergo aggressive compression. This local differentiation resolves the contradiction by maintaining image detail quality where needed while achieving storage efficiency where possible.
Solution Approach 2:
The patent segments video data into discrete chunks with metadata, allowing selective application of compression algorithms to different segments. By dividing the video stream into manageable units and applying differential compression to each segment based on its content importance, the system achieves both storage efficiency and preserved image detail quality in critical areas.
2Device complexity
If uniform compression is applied to all video data, then processing simplicity is improved, but indexing efficiency deteriorates
Solution Approach 1:
The patent divides video data into discrete chunks with associated metadata that enables efficient indexing. Each chunk is independently processable and can be quickly located using timestamp information stored in the metadata. This segmentation allows the system to avoid complex uniform processing while maintaining fast indexing capabilities through the structured chunk format.
Solution Approach 2:
The patent performs preliminary organization of video data into chunks with embedded metadata (including timestamps) during the encoding phase. This advance preparation enables rapid indexing and retrieval operations later without requiring complex real-time processing, thus improving indexing efficiency while keeping overall processing manageable.
3Quantity of substance
If lossy compression is used to reduce data size, then storage efficiency is improved, but information retention deteriorates
Solution Approach 1:
The patent applies lossy compression selectively to non-critical regions of video frames while preserving critical sub-regions with lossless or minimal compression. By identifying and protecting regions containing important image details (such as objects of interest, text, or safety-relevant features), the system maintains information retention where needed while achieving data size reduction in less important areas.
Solution Approach 2:
The patent extracts and separately handles critical sub-regions from the main video stream, applying different compression strategies to these extracted portions. By separating critical information from the general video data and applying appropriate preservation techniques to the extracted critical regions, the system minimizes information loss while still achieving overall data size reduction.
Data Source
AI summary
Techniques for encoding image data are discussed. Image data containing multiple image frames can be received from an image sensor associated with a vehicle. A first image frame and a second image frame may be associated with a first data chunk. A first metadata associated with the first image frame can be identified. Additionally, a second metadata associated with the second image frame can be identified. The first data chunk can be created that includes the first image frame, the second image frame, the first metadata, and the second metadata. The first data chunk can be stored in a video container, where the video container can be indexed to access the first image frame with the first metadata or the second image frame with the second metadata.