Predictive side decoding for human-centered multiple description image coding

Yuanyuan Xu

doi:10.1186/s13638-020-01719-z

Yuanyuan Xu

Open Access

https://doi.org/10.1186/s13638-020-01719-z

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Abstract

Multiple description coding (MDC) provides a favorable solution for human-centered image communication, which takes into account people’s varying watching situations as well as people’s demand for real-time image display. As an effective technique for MDC, three-description lattice vector quantization (3D-LVQ) is considered for image coding in this paper. Based on intra- and inter-correlation in the 3D-LVQ index assignment as well as wavelet intra-subband correlation, a novel predictive decoding method for 3D-LVQ-based image coding is proposed to enhance side decoding performance, which attempts to predict lost descriptions (sublattice points) in a good way for better reconstructions of wavelet vectors (fine lattice points) in the side decoding. Experimental results validate effectiveness of the proposed decoding scheme in terms of rate-distortion performance.

Highlights

The revolutionary computing technology advances have changed almost every aspect of human lives [1]
According to [1], Human-centered computing (HCC) system and algorithm design needs to take into account individual human abilities and limitation, social and cultural awareness, and the adaptability across individuals and specific situations, for example, designing recommender systems or recommending services that consider individual’s social and cultural context [10,11,12,13,14,15,16,17]
An interesting topic in multimedia applications in HCC is the adaptation of multimedia

Summary

Introduction

The revolutionary computing technology advances have changed almost every aspect of human lives [1]. These changes intended to be positive are not always so. Since a lot of computing technologies are designed ignorant of human’s needs or social cultural contexts, these technologies are complex, difficult to use, and demanding, especially for ordinary people who do not possess skilled knowledge [1]. These issues bring a need to develop new computing paradigms that focus more on people instead of machines. An interesting topic in multimedia applications in HCC is the adaptation of multimedia

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