Scalable Video Coding Using Shift and Offset Alignment
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Solution Overview
Problem
Current video compression technologies face challenges in efficiently encoding and decoding video signals for mobile devices, leading to image quality reduction when bitrate is lowered, due to phase shifts and redundancy between base and enhanced layers in scalable video coding schemes.
Innovation Solution
A method for decoding and encoding video signals that predicts current image portions based on residual coded portions of a base image, using shift and offset information to align reference images with current images, thereby preventing phase shifts and improving coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scalable video coding with base layer and enhancement layer is used, then video compression efficiency is improved, but image quality is significantly reduced when bitrate is lowered
Solution Approach 1:
The patent applies preliminary action by generating an auxiliary picture sequence (base layer) in advance from the original video signal. This base layer is encoded and transmitted separately to provide a fallback option for low-bitrate conditions. When the enhanced layer cannot be decoded due to insufficient bitrate, the decoder can use the pre-prepared base layer to maintain acceptable image quality, thus preventing quality degradation in advance.
2Manufacturing precision
If auxiliary picture sequence is provided for low bitrates, then image quality is maintained, but data redundancy between layers increases
Solution Approach 1:
The patent applies local quality by making the auxiliary picture sequence (base layer) have different characteristics from the enhanced layer. The base layer is generated with lower spatial resolution and/or lower frame rate, matching the specific requirements of low-bitrate transmission. This localized optimization allows the system to maintain image quality where needed while reducing data redundancy in areas where quality requirements are lower.
3Adaptability or versatility
If transcoding procedure is performed to adapt video to mobile device capabilities, then video compatibility is improved, but time delay increases
Solution Approach 1:
The patent applies segmentation by dividing the video signal into multiple layers (base layer and enhancement layer) during the initial encoding process. Each layer is independently encoded with different quality characteristics. This allows the receiver to select and decode only the necessary layer(s) based on device capabilities and network conditions, eliminating the need for time-consuming transcoding operations and reducing latency.
4Adaptability or versatility
If multiple compressed video data forms are prepared for various mobile devices, then device adaptability is improved, but content provider burden increases
Solution Approach 1:
The patent applies universality by creating a multi-layer video code structure where a single encoded bitstream contains both base layer and enhancement layer data. This universal format can be decoded by any device depending on its capabilities - low-end devices can decode only the base layer while high-end devices can decode both layers for higher quality. This eliminates the need for content providers to create and manage multiple separate video files for different devices.
Data Source
AI summary
In one embodiment, the method includes predicting at least a portion of a current image in a current layer based on at least a residual coded portion of a base image in a base layer, a reference image, shift information for samples in the predicted current image, and offset information indicating a position offset between at least one boundary pixel of the reference image and at least one boundary pixel of the current image. The residual coded portion represents difference pixel data.


