Massive Picture Processing via Bit-Based Layering and Inverted Index Storage
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Solution Overview
Problem
The processing of massive pictures consumes significant storage media and transmission bandwidth, leading to slow transmission speeds due to redundant information and inefficient storage and management methods.
Innovation Solution
A method involving bit-based layering of picture matrices, storage using an inverted index structure, and run-length encoding to reduce redundant data, followed by decoding and synthesis of pictures, which minimizes storage space and enhances transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If massive pictures are stored and processed using conventional methods, then picture storage capacity is sufficient, but transmission bandwidth consumption increases and transmission speed decreases
Solution Approach 1:
The patent segments picture data into multiple layers based on binary bit positions (e.g., first layer contains most significant bits, second layer contains less significant bits). This segmentation allows progressive transmission where important visual information is transmitted first, enabling faster perceived transmission speed while maintaining complete picture storage capacity.
Solution Approach 2:
The patent transforms picture data from conventional formats into multiple layers with different bit depths and importance levels. By changing the parameter of data organization from uniform storage to layered storage with varying bit significance, the system optimizes both storage efficiency and transmission bandwidth utilization.
2Device complexity
If conventional picture processing methods are used, then storage management is simple, but storage space consumption increases due to redundant information
Solution Approach 1:
The patent extracts redundant information from picture data by organizing it into layered structures where common information across multiple pictures is stored once at higher layers, while unique variations are stored at lower layers. This extraction of redundancy significantly reduces storage space consumption while maintaining manageable complexity through the systematic layering approach.
Solution Approach 2:
The patent merges multiple picture data streams into a unified layered structure where shared information is combined and stored efficiently. By merging redundant elements into common layers and separating unique elements into specific layers, the system achieves compact storage without excessive management complexity.
3Loss of information
If all picture data is transmitted simultaneously, then complete picture information is delivered, but transmission time increases and efficiency decreases
Solution Approach 1:
The patent performs preliminary organization of picture data into layered structures before transmission, with important visual information placed in higher layers and less critical details in lower layers. This preliminary action enables progressive transmission where the most important picture information is delivered first, reducing perceived transmission time while ensuring complete information is eventually transmitted.
Solution Approach 2:
The patent enables periodic or phased transmission of picture layers, where data can be transmitted in stages rather than all at once. This periodic transmission approach allows the system to deliver complete picture information over an extended period, with each phase delivering increasingly detailed layers, thereby reducing the time pressure of single-burst transmission while maintaining information completeness.
Data Source
AI summary
The present disclosure provides a massive picture processing method, a massive picture processing device, an electronic apparatus and a computer readable storage medium, relating to the technical field of data processing. Said method comprises: acquiring matrixes corresponding to a plurality of channels of respective picture in massive pictures, and performing bit-based layering on respective matrixes; storing, according to an inverted index structure, picture-bit-layered data corresponding to respective channels after bit-based layering, and generating a picture-layer index record file; decoding all the picture-layer indexes of the picture according to the picture-layer index record file and synthesizing the picture according to the decoding result.