Video Encoding Device Reducing Parity Bits via Side Information
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Solution Overview
Problem
Existing video encoding methods using DVC struggle to achieve high encoding efficiency without generating Side Information (SI) at the encoding device, leading to increased parity bits and decreased decoded image quality due to varying error amounts between quantized SI and Wyner-Ziv images.
Innovation Solution
A video encoding device generates a predicted image using a key frame, compares parameter values with the original image to create an updated original image, and produces error correction codes, while the decoding device uses these codes to correct errors in the predicted image, reducing the amount of codes needed without compromising image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Side Information (SI) is generated at the encoding device to improve decoding quality, then decoding accuracy is improved, but the amount of parity bits increases and encoding efficiency decreases
Solution Approach 1:
The patent changes the parameter of SI generation location from encoding device to decoding device. By generating SI at the decoding device using previously decoded frames, the system reduces the amount of parity bits needed for error correction while maintaining decoding accuracy, thus resolving the contradiction between decoding quality and encoding efficiency
2Loss of information
If SI generation is performed at the decoding device side, then the amount of codes decreases, but the computation amount increases
Solution Approach 1:
The patent applies preliminary action by using frames that have already been decoded to generate SI for current frame decoding. This reuses computation results from previous decoding operations, reducing the overall computation amount while still enabling SI generation at the decoding device to minimize code transmission
3Productivity
If the amount of parity bits is reduced to improve encoding efficiency, then encoding efficiency is improved, but the quality of decoded image deteriorates
Solution Approach 1:
The patent implements feedback by using the decoded output from previous frames to generate SI for current frame decoding. This creates a feedback loop where decoding results are reused to improve subsequent decoding accuracy, allowing reduced parity bits while maintaining image quality through intelligent reuse of decoded information
Data Source
AI summary
The present invention relates to a video distribution system including a video encoding device which generates video data encoded per a unit of frame and a video decoding device which decodes the video data supplied from the video encoding device. The video encoding device includes a predicted image generator which generates a predicted image of a non-key frame, by using a key frame, an updated original image generator which compares each parameter representing a predicted image of the non-key frame with respective parameter values for each parameter representing an original image of the non-key frame, and according to this comparison result, generates an updated original image by selecting parameter values of either the predicted image or the original image for each parameter, and an error correction code generator which generates an error correction code for correcting an error of the updated original image to the non-key frame.