Distributed Video Decoder Selective Hash Information
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Solution Overview
Problem
Conventional distributed video coding techniques based on the Wyner-Ziv theorem face challenges in generating accurate side information, leading to noise in the decoding process, especially when motion between pictures is complex or non-linear, resulting in increased bit rates due to the need for hash information.
Innovation Solution
A distributed video decoder and decoding method that selectively uses hash information to improve side information quality by determining necessary hash information based on motion estimation reliability, reducing noise and bit rate, and selectively requesting parity bits for reliable decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional distributed video coding technique is used to reduce encoder complexity, then computation cost is reduced, but side information quality deteriorates leading to increased noise and bit rate
Solution Approach 1:
The patent performs preliminary motion estimation between key pictures before generating side information for WZ pictures. By pre-calculating motion vectors from key picture pairs, the system prepares accurate motion compensation data in advance, which significantly improves side information quality without adding complexity to the real-time encoding process.
Solution Approach 2:
The patent introduces an intermediate motion estimation process that uses key pictures as mediators to generate motion vectors. These intermediate motion vectors serve as the basis for creating accurate side information, acting as a bridge between key pictures and WZ pictures, thereby improving decoding reliability without increasing encoder complexity.
2Reliability
If hash information is transmitted to improve side information quality, then noise is reduced, but transmission bit rate increases
Solution Approach 1:
The patent extracts only the essential motion vector information from key pictures that is necessary for generating side information. By selectively extracting and transmitting only the critical motion parameters rather than complete hash information, the system reduces the amount of transmitted data while maintaining sufficient side information quality for effective noise reduction.
Solution Approach 2:
The patent applies motion estimation and hash information transmission selectively to specific regions or blocks where motion complexity requires it. By analyzing motion characteristics locally and applying hash information only where necessary, the system improves side information quality in critical areas while minimizing the overall bit rate increase.
3Productivity
If motion compensation is performed to reduce temporal redundancy, then coding efficiency is improved, but power consumption increases
Solution Approach 1:
The patent inverts the traditional coding approach by performing motion estimation and compensation at the decoder side rather than the encoder side. This allows the encoder to operate with minimal computation and low power consumption, while the decoder performs the intensive motion compensation operations to achieve high coding efficiency.
Solution Approach 2:
The decoder performs self-service by autonomously generating side information using received key pictures and motion vectors. The decoder independently executes motion estimation and compensation without requiring complex encoder processing, thereby reducing encoder power consumption while maintaining coding efficiency through decoder-side intelligence.
Data Source
AI summary
A distributed video decoder and a distributed video decoding method are provided. The distributed video decoder includes a key picture decoding unit which reconstructs a key picture received from an encoder, a hash information selecting unit which determines necessary hash information using the reconstructed key picture and/or generated previous side information, and a side information generating unit which generates side information using the reconstructed key picture and/or hash information selected based on information determined by the hash information selecting unit. The distributed video decoder further includes a channel code decoding unit which estimates a quantized value by using a parity bit received from the encoder and the generated side information, and a video reconstructing unit which reconstructs a current picture as a decoding target by using the quantized value estimated by the channel code decoding unit and the generated side information.