Video Codecs for Digital Image Delivery

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Solution Overview

Problem

Existing image file formats like JPEG and PNG have limitations such as loss of image content due to compression, unsuitability for images with sharp edges or text, and inefficiencies in bandwidth usage, leading to sub-optimal user experiences during image browsing and transmission over the Internet.

Innovation Solution

Encoding digital images as frames of video content files using video encoding standards like H.264 or H.265, allowing for efficient bandwidth usage and improved image quality by leveraging features of video encoding, such as lossy or lossless compression and differential coding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If JPEG format is used for image transmission, then bandwidth consumption is reduced, but image quality deteriorates due to lossy compression

Engineering Contradiction:
Improvebandwidth consumptionVSAvoidimage quality
Core Design Contradiction:
Loss of energyVSManufacturing precision

Solution Approach 1:

The patent changes the encoding format parameter from traditional image formats (JPEG, PNG) to video codec formats (H.264, H.265). This parameter change enables the use of video compression algorithms that offer superior compression efficiency and image quality compared to traditional image formats, resolving the contradiction between bandwidth consumption and image quality.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If PNG format is used for image transmission, then image quality is preserved through lossless compression, but bandwidth consumption increases

Engineering Contradiction:
Improveimage qualityVSAvoidbandwidth consumption
Core Design Contradiction:
Manufacturing precisionVSLoss of energy

Solution Approach 1:

The patent changes the encoding format parameter from lossless image formats (PNG) to video codec formats (H.264, H.265). Video codecs achieve better compression ratios than lossless image formats while maintaining acceptable image quality, thus reducing bandwidth consumption without completely sacrificing image fidelity.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If traditional image formats are used, then compatibility with older systems is maintained, but compression efficiency and bandwidth usage are sub-optimal

Engineering Contradiction:
Improvesystem compatibilityVSAvoidbandwidth usage
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent changes the encoding parameter from traditional image formats to modern video codecs. The implementation includes fallback mechanisms to traditional formats, ensuring that systems with outdated decoders can still process the content, thus maintaining compatibility while achieving superior compression efficiency with modern decoders.

Inventive Principle:
Principle #35Parameter changes

4Loss of energy

If video encoding standards are used for images, then bandwidth consumption is reduced and image quality is improved, but device complexity increases

Engineering Contradiction:
Improvebandwidth consumptionVSAvoidencoding complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent applies video encoding standards to images in advance, during the content preparation phase. This preliminary encoding action allows the use of efficient video compression algorithms without requiring complex real-time encoding during transmission or display, thus reducing bandwidth consumption while managing device complexity through pre-processing.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11178467B1Use video codecs to deliver images
Publication Date: 2021.11.16 AMAZON TECH INC
  • US11178467B1 patent drawing
  • US11178467B1 patent drawing
  • US11178467B1 patent drawing

AI summary

Techniques are described that enable digital images to be delivered using a video codec that operates according to a video encoding standard. These techniques include encoding digital images as frames of video content files, and decoding the frames of the video content files to display the images.