Digital Video Camera Internal Data Sample Compression
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Solution Overview
Problem
Conventional digital cameras face high power consumption and cost due to the need for large and expensive external memory to handle large amounts of image data, which increases bandwidth requirements and memory allocation.
Innovation Solution
Implementing a digital video camera with internal data sample compression using two encoders and a decoder to compress and decompress image data, reducing the need for external memory and lowering bandwidth consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large external memory is used to accommodate image data, then bandwidth requirements are met, but power consumption and cost increase
Solution Approach 1:
The system performs preliminary compression of image data in the buffer memory before it needs to be transferred to external memory or processed further. By compressing the data upfront, the system reduces the amount of data that requires storage and transfer, thereby lowering power consumption while maintaining the required image data capacity.
Solution Approach 2:
The system changes the parameter of data density by transforming uncompressed image data into compressed data with reduced size. This parameter change allows the same amount of image information to be stored in less memory, reducing the need for large external memory chips and lowering associated power consumption.
2Quantity of substance
If large external memory is used to accommodate image data, then bandwidth requirements are met, but cost increases
Solution Approach 1:
The system performs preliminary compression of image data in the buffer memory before it needs to be transferred to external memory or processed further. By compressing the data upfront, the system reduces the amount of data that requires storage and transfer, thereby lowering power consumption while maintaining the required image data capacity.
Solution Approach 2:
The system changes the parameter of data density by transforming uncompressed image data into compressed data with reduced size. This parameter change allows the same amount of image information to be stored in less memory, reducing the need for large external memory chips and lowering associated power consumption.
3Productivity
If image data is transferred to external memory, then processing capacity is increased, but bandwidth consumption increases
Solution Approach 1:
The system performs preliminary compression of image data in the buffer memory before it needs to be transferred to external memory or processed further. By compressing the data upfront, the system reduces the amount of data that requires storage and transfer, thereby lowering power consumption while maintaining the required image data capacity.
Solution Approach 2:
The system extracts only the essential compressed data from the buffer memory for external processing or storage, rather than transferring the complete uncompressed data. This extraction approach reduces the data volume and associated bandwidth consumption while maintaining processing capacity for the compressed data.
Data Source
AI summary
An apparatus generally comprising a first encoder, a decoder and a second encoder is disclosed. The first encoder may be configured to generate a plurality of first compressed samples from a plurality of data samples of a picture. The data samples generally include a plurality of luminance samples and chrominance samples created internal to a digital video camera. The decoder may be configured to generate a plurality of reconstructed samples from the first compressed samples. The second encoder may be configured to generate a plurality of second compressed samples based on the reconstructed samples.


