On Quantizer Design to Exploit Common Information in Layered Coding of Vector Sources

TL;DR

This paper proposes a layered coding framework that efficiently transmits common and individual information for multiple quality levels, reducing resource waste and overcoming limitations of traditional scalable and independent coding methods.

Contribution

It introduces a relaxed hierarchical coding scheme that extracts common information across quality levels, offering flexible trade-offs between scalable and independent coding.

Findings

Outperforms conventional scalable coding in resource efficiency.

Extracts nearly all common information with minimal performance loss.

Demonstrates effectiveness on practical source data.

Abstract

This paper studies a layered coding framework with a relaxed hierarchical structure. Advances in wired/wireless communication and consumer electronic devices have created a requirement for serving the same content at different quality levels. The key challenge is to optimally encode all the required quality levels with efficient usage of storage and networking resources. The approach to store and transmit independent copies for every required quality level is highly wasteful in resources. Alternatively, conventional scalable coding has inherent loss due to its structure. This paper studies a layered coding framework with a relaxed hierarchical structure to transmit information common to different quality levels along with individual bit streams for each quality level. The flexibility of sharing only a properly selected subset of information from a lower quality level with the higher quality level, enables achieving operating points between conventional scalable coding and independent coding, to control the layered coding penalty. Jointly designing common and individual layers' coders overcomes the limitations of conventional scalable coding and non-scalable coding, by providing the flexibility of transmitting common and individual bit-streams for different quality levels. It extracts the common information between different quality levels with negligible performance penalty. Simulation results for practically important sources, confirm the superiority of the work.