Deep semantic segmentation-based multiple description coding

In this paper, we propose a deep semantic segmentation-based multiple description coding (DSSMDC). In the proposed scheme, the input image is divided into two different subsets and getting two descriptions, which is named multiple description pre-processing (MDP). Then, two descriptions are encoded...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia tools and applications 2021-03, Vol.80 (7), p.10323-10337
Main Authors: Li, Xue, Meng, Lili, Tan, Yanyan, Zhang, Jia, Wan, Wenbo, Zhang, Huaxiang
Format: Article
Language:English
Subjects:
Codec
Coding
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Descriptions
Image quality
Image reconstruction
Image segmentation
Multimedia Information Systems
Semantic segmentation
Semantics
Special Purpose and Application-Based Systems
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose a deep semantic segmentation-based multiple description coding (DSSMDC). In the proposed scheme, the input image is divided into two different subsets and getting two descriptions, which is named multiple description pre-processing (MDP). Then, two descriptions are encoded and decoded respectively by utilizing the deep semantic segmentation codec, in which the semantic segmentation label is as side information for improving image reconstruction quality. We can get one side reconstruction, when only one description is received at the decoder. If both descriptions are received at the decoder, we can get the central reconstruction. Experimental results show that the proposed scheme achieves better performance than other existing compression methods.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-020-09283-w