Adaptive Data Encoding with Extrapolation for Mixed Content
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Solution Overview
Problem
Existing data encoding methods are not optimally suited for a wide spectrum of content types, including images, videos, audio, graphics, and binary data, leading to inefficient compression and errors in decoding.
Innovation Solution
A method that analyzes data to identify structural features and employs extrapolation encoding techniques, combining multiple encoding methods such as DCT, wavelet transform, and extrapolation, to efficiently encode and decode data, including information about the methods and parameters used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional encoding methods (DCT, wavelet, RLE) are used, then encoding efficiency is improved for specific data types, but encoding accuracy and reliability deteriorate when applied to diverse content types
Solution Approach 1:
The patent implements dynamic method selection where the encoder automatically chooses between RLE, DCT, wavelet, and extrapolation methods based on the actual characteristics of the input data. This dynamic adaptation allows the system to maintain high encoding efficiency for specific data types while ensuring reliable encoding accuracy across diverse content types by selecting the most appropriate method for each data block.
Solution Approach 2:
The system changes encoding parameters by selecting different encoding methods based on data characteristics. The encoder analyzes data patterns and switches between RLE for repetitive data, DCT for natural images, wavelet for multi-resolution content, and extrapolation for structured data, thereby optimizing both efficiency and reliability for each specific data type.
2Device complexity
If a single encoding method is used for all data types, then device complexity is reduced, but adaptability to different content types deteriorates
Solution Approach 1:
The patent creates a universal encoding system that can handle multiple data types (natural images, desktop images, animations, graphics, and structured data) using a single multi-functional encoder. The encoder incorporates multiple encoding methods (RLE, DCT, wavelet, extrapolation) and automatically selects the appropriate method based on data characteristics, providing broad adaptability without requiring separate encoding systems for each content type.
3Loss of substance
If RLE is used for encoding similar adjacent values, then compression ratio is improved, but encoding accuracy deteriorates for periodic and structured data
Solution Approach 1:
The system dynamically switches between RLE and extrapolation methods based on data characteristics. For repetitive data, RLE provides excellent compression. For periodic and structured data, the system transitions to extrapolation methods that model data patterns, maintaining both compression efficiency and reconstruction accuracy by adapting the encoding approach to the specific data structure.
Data Source
AI summary
A method of encoding data (D1) for generating corresponding encoded data (E2) is provided, wherein the method includes: (a) analyzing the data (D1) to be encoded to identify one or more structural features within the data (D1); (b) encoding the data (D1) to be encoded as one or more portions depending upon the one or more structural features, and selecting one or more methods which efficiently encode the one or more portions, wherein the one or more methods include at least one extrapolation encoding method; and (c) generating the encoded data (E2) by combining data generated from the one or more portions, wherein the encoded data (E2) includes information indicative of methods employed to encode the one or more portions with their associated parameters. A method of decoding encoded data (E2) for generating corresponding decoded data (D3) is provided, the method includes: (a) processing the encoded data (E2) to extract therefrom data corresponding to one or more portions, wherein the extracted encoded data (E2) includes information indicative of methods employed to encode the one or more portions with their associated parameters; (b) decoding the one or more portions, wherein the decoding involves selecting one or more methods as specified by the associated parameters, wherein the one or more methods include at least one extrapolation decoding method; and (c) combining data from the one or more decoded portions to generate the decoded data (D3). The methods are beneficially useable in an encoder (20), in a decoder (30), and in a codec (10).