Layered Multimedia Compression for Heterogeneous Networks
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Solution Overview
Problem
Conventional scalable coding techniques incur significant quality loss and are inefficient in resource usage due to their rigid hierarchical structure, leading to suboptimal performance in delivering multimedia content across diverse devices and networks with varying bandwidth and latency.
Innovation Solution
A flexible layered coding approach that optimizes bitstream routing and employs irregular quantizers, allowing only a subset of bits to be sent to high-end receivers based on network conditions, and uses joint optimization of all layers to minimize transmission and storage rates while maximizing quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional scalable coding with rigid hierarchical structure is used, then transmission and storage resources are saved, but significant quality loss occurs
Solution Approach 1:
The patent segments the bitstream into multiple independent layers (first layer, second layer, third layer) rather than using a rigid hierarchical structure. Each layer can be independently encoded and transmitted, allowing flexible combination at the receiver to achieve different quality levels without the quality loss inherent in conventional scalable coding's strict hierarchy.
Solution Approach 2:
The patent introduces dynamic routing decisions where the system can adaptively determine which layers to transmit based on network conditions and receiver capabilities. The routing mechanism dynamically adjusts the subset of bits sent to high-end receivers versus base receivers, optimizing the balance between resource consumption and quality preservation.
2Loss of information
If independent copies of the signal are stored and transmitted for every user type, then optimal signal quality is maintained, but resource usage becomes highly wasteful
Solution Approach 1:
The patent merges the encoding of multiple quality levels into a single unified encoding process that produces multiple layers simultaneously. Instead of encoding separate independent copies for different user types, the system encodes one signal once and divides it into layers that can be selectively transmitted to different receivers, thereby reducing redundancy and resource consumption while maintaining quality.
Solution Approach 2:
The encoded bitstream structure is designed to be universal, where the same set of layers can serve multiple receiver types (base receivers and high-end receivers) through selective decoding. The first layer serves as a common base for all receivers, while subsequent layers can be selectively transmitted based on receiver capabilities, making the encoding system multi-functional for different service scenarios.
3Adaptability or versatility
If real-time transcoding is performed to cater to user requirements, then quality needs are met, but delay, complexity and reconstruction quality costs increase
Solution Approach 1:
The patent performs preliminary encoding action by creating multiple layers during the initial encoding stage rather than performing transcoding at reception time. The encoder pre-computes multiple quality levels and packages them into separate layers, which are then transmitted to receivers. This eliminates the need for complex real-time transcoding operations at the receiver, reducing system complexity and delay while still meeting diverse user requirements.
Data Source
AI summary
A method and apparatus provide the ability to code signals in a layered manner for compression and networking applications. The solution involves a relaxed hierarchical structure of layers, wherein only an optimal subset of information from lower quality levels is transmitted to higher level decoders. This framework is complemented with a design method to optimize system parameters. Specialization may include techniques for employing irregular quantizers and/or estimation theoretic optimal parameter selection and/or content specific optimization (e.g., exploiting harmonic structure in audio, adaptive transform coding and enhanced motion compensated prediction for video) and/or optimization of the structure of the layers, where the potential of exploiting all the common information is realized to improve overall system performance for that application. One specific technique provides improved compression of signals with multiple quality levels with or without prediction. Another specific technique provides improved compression of signals with multiple heterogeneous quality-levels with or without prediction.