MAP-Inspired Deep Unfolding Network for Distributed Compressive Video Sensing
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3260707
Abstract: Due to the lack of probabilistic inference guidance, the network structure of current deep learning-based Distributed Compressive Video Sensing (DCVS) algorithms cannot efficiently exploit frame measurements, inter-frame correlations, and intra-frame correlations. In this letter, we… read more here.
Keywords: network; distributed compressive; compressive video; frame ... See more keywords
Scalable Structured Compressive Video Sampling With Hierarchical Subspace Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2939370
Abstract: Conventional scalable compressive video sampling cannot sufficiently exploit the structured sparsity within video sequences. This paper proposes a novel quality scalable structured compressive video sampling (SS-CVS) framework with hierarchical subspace learning to support video transmission… read more here.
Keywords: video; video sampling; hierarchical subspace; subspace learning ... See more keywords