Image Encoding With POC MSB Cycle Signaling for Lower Bitstream Overhead
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images, such as HD and UHD images, leads to a significant increase in the amount of transmitted and stored information, resulting in higher transmission and storage costs. There is a need for high-efficient image compression technology to address this challenge.
Innovation Solution
The proposed solution involves an image encoding/decoding method and apparatus that utilizes POC MSB information, POC MSB cycle information for intra pictures, and a POC difference between pictures that is forced to be less than half the maximum value of a POC LSB. This approach improves encoding/decoding efficiency and reduces the amount of information required for high-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images are transmitted and stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The picture order count (POC) value is segmented into two parts: POC most significant bit (MSB) and POC least significant bit (LSB). This segmentation allows the encoder to transmit only the POC LSB value in the bitstream while the decoder derives the complete POC value by combining the transmitted LSB with pre-stored or previously decoded MSB information, thereby reducing the amount of data transmitted while maintaining accurate picture ordering for high-quality image reconstruction
Solution Approach 2:
The POC MSB information is extracted and stored separately in memory before encoding. Only the necessary POC LSB portion is included in the bitstream transmission. The decoder extracts and combines this transmitted LSB with the pre-stored MSB to reconstruct the full POC value, reducing transmission overhead while preserving complete picture ordering information for high-quality image decoding
2Quantity of substance
If the amount of transmitted information is reduced, then transmission cost is lowered, but encoding/decoding efficiency may deteriorate
Solution Approach 1:
The POC MSB values are preliminarily calculated and stored in memory during the encoding process before bitstream generation. This preliminary action ensures that when the decoder receives the transmitted POC LSB values, it can immediately combine them with the pre-stored MSB values to reconstruct complete POC values without requiring complex real-time calculations, thereby maintaining high decoding efficiency while reducing transmission data volume
Solution Approach 2:
The decoder uses previously decoded POC values and stored MSB information to automatically derive current picture POC values without requiring additional signaling or complex processing. This self-service mechanism maintains decoding efficiency by leveraging existing decoded information and simple arithmetic operations to reconstruct complete POC values from the transmitted LSB portions
Data Source
AI summary
An image encoding/decoding method and apparatus is provided. The image decoding method comprises determining whether first information specifying a value of a picture order count (POC) most significant bit (MSB) cycle of a current picture is present in a picture header, determining a POC MSB of the current picture based on whether the first information is present in the picture header, and deriving a POC of the current picture based on the determined POC MSB. Based on the first information being not present in the picture header and the current picture being not a CLVSS (coded layer video sequence start) picture, a POC difference between the current picture and a previous picture preceding the current picture in decoding order may be less than half a maximum value of a POC least significant bit (LSB) of the current picture.