May 20, 2016 · The CS theory [24] demonstrates that a signal can be reconstructed with high probability from fewer measurements when it exhibits sparsity in ...
To overcome this cliff effects and provide a graceful degradation to multi-receivers, in this paper, we use the nonlocal sparsity and hierarchical GOP structure ...
To overcome this cliff effects and provide a graceful degradation to multi-receivers, in this paper, we use the nonlocal sparsity and hierarchical GOP structure ...
Video broadcasting over wireless network has become a very popular application. However, the conventional digital video broadcasting framework can hardly ...
Compressive Sensing Based Soft Video Broadcast Using Spatial and Temporal Sparsity. Wenbin Yin, Xiaopeng Fan, Yunhui Shi, Ruiqin Xiong, Debin Zhao.
CS has properties of minimizing bandwidth consumption and generating measurements with equal importance which are exactly needed by video soft broadcast. In the ...
This paper presents a compressive-sensing- (CS-) based video codec which is suitable for wireless video system requiring simple encoders but tolerant, ...
Hyperspectral compressed sensing (HCS) is a new imaging method that effectively reduces the power consumption of data acquisition. In this paper, we present a ...
Mar 16, 2023 · Spatio-Temporal VCS. Video compressive sensing approaches are mostly based on either temporal or spatial domain. These approaches consider ...
This paper provides a comprehensive exploration of the key components within the domain of CS applied to image and video compression.