Multi-Dimensional Pattern Encoding for Faster Data Decompression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional codecs are inadequate for efficiently compressing and decompressing multi-dimensional image, video, and audio data, leading to inefficient resource usage and slow decompression processes.
Innovation Solution
An encoder and decoder system that identifies and represents duplicate multi-dimensional patterns using duplication symbols, employing redundancy checks and chronological sequences to encode and decode data, enabling efficient compression and decompression of various data types, including multi-dimensional audio, image, and video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional codecs process data in a one-dimensional manner, then the encoding and decoding processes are simple, but they cannot efficiently compress multi-dimensional image, video, and audio data
Solution Approach 1:
The patent transitions from one-dimensional sequential processing to multi-dimensional block-based processing. Data is organized into multi-dimensional blocks (e.g., 2D image blocks, 3D video cubes) and processed simultaneously across multiple dimensions, enabling efficient compression of images, videos, and audio while maintaining manageable complexity through structured block operations
2Loss of substance
If compression ratio is increased to reduce data storage and transmission resources, then resource usage is reduced, but decompression speed becomes slow and computational power is wasted
Solution Approach 1:
The patent divides data into smaller manageable blocks and processes them independently. This segmentation allows parallel decomposition operations, where multiple blocks can be decompressed simultaneously, significantly improving decompression speed while maintaining high compression ratios through efficient block-level redundancy elimination
Solution Approach 2:
The patent performs preliminary organization of data into structured multi-dimensional blocks during encoding, creating an optimized structure that enables faster decompression. The encoding phase prepares data in a format that facilitates rapid retrieval and reconstruction during decoding, reducing computational overhead
3Productivity
If more computational power is used during encoding to achieve better compression, then compression ratio improves, but decompression requires even more computational power and time
Solution Approach 1:
The patent creates compact representations (indexes or references) of original data blocks during encoding. Instead of storing or transmitting full redundant data, it stores compact copies that point to original blocks. During decompression, these compact copies are quickly resolved to retrieve original data, dramatically reducing decoding computational power while maintaining high compression ratios
Data Source
AI summary
An encoder for compressing input data to generate corresponding encoded data is provided. The encoder is operable to process the input data to identify reoccurrence of mutually similar multi-dimensional patterns of data bits and/or data symbols therein. The encoder is then operable to represent one or more duplicate reoccurrences of the mutually similar multi-dimensional patterns of data bits and/or data symbols by way of one or more duplication symbols uniquely identifying the mutually similar patterns.