Video transmission over lossy wireless networks: A cross-layer perspective

S Pudlewski, N Cen, Z Guan… - IEEE Journal of Selected …, 2014 - ieeexplore.ieee.org
Video content currently makes up nearly half of the “fixed” Internet traffic and more than a
third of the mobile traffic in North America, with most other regions showing similar trends. As …

Interview motion compensated joint decoding for compressively sampled multiview video streams

N Cen, Z Guan, T Melodia - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
In this paper, we design a novel multiview video encoding/decoding architecture for
wirelessly multiview video streaming applications, eg, 360 degrees video, Internet of Things …

A low complexity compressed sensing-based codec for consumer depth video sensors

S Wang, L Yu, S Xiang - IEEE Transactions on Consumer …, 2019 - ieeexplore.ieee.org
In 3-D applications, a high-quality depth video codec with low complexity is in great demand
for consumer devices, which generally have limited computational resources and energy …

Compressed sensing based low-power multi-view video coding and transmission in wireless multi-path multi-hop networks

N Cen, Z Guan, T Melodia - IEEE Transactions on Mobile …, 2021 - ieeexplore.ieee.org
Wireless Multimedia Sensor Network (WMSN) is increasingly being deployed for
surveillance, monitoring and Internet-of-Things (IoT) sensing applications where a set of …

Multi-view wireless video streaming based on compressed sensing: Architecture and network optimization

N Cen, Z Guan, T Melodia - Proceedings of the 16th ACM International …, 2015 - dl.acm.org
Multi-view wireless video streaming has the potential to enable a new generation of efficient
and low-power pervasive surveillance systems that can capture scenes of interest from …

Cloud-assisted smart camera networks for energy-efficient 3D video streaming

Z Guan, T Melodia - Computer, 2014 - ieeexplore.ieee.org
Cloud-Assisted Smart Camera Networks for Energy-Efficient 3D Video Streaming Page 1 60
COMPUTER Published by the IEEE Computer Society 0018-9162/14/$31.00 © 2014 IEEE …

Reconstruction of compressed-sensed multiview video with disparity-and motion-compensated total variation minimization

Y Liu, DA Pados, J Kim, C Zhang - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Compressed sensing (CS) is the theory and practice of sub-Nyquist sampling of sparse
signals of interest. Exact reconstruction may then be possible with much fewer than the …

Camera to Cloud: A Robust Solution for Seamless Video Data Integration for OTT and Film production

S Pattanayak, AD Singh… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Camera-to-Cloud technology is the first step toward transforming OTT and film production
via cloud-powered disruptions, which enables filmmakers to analyze video as soon as …

Block compressive sensing single-view video reconstruction using joint decoding framework for low power real time applications

M Ebrahim, SH Adil, K Raza, SSA Ali - Applied Sciences, 2020 - mdpi.com
Several real-time visual monitoring applications such as surveillance, mental state
monitoring, driver drowsiness and patient care, require equipping high-quality cameras with …

Multi-phase joint reconstruction framework for multi-view video compression using block-based compressive sensing

M Ebrahim, WC Chai - 2015 Visual Communications and …, 2015 - ieeexplore.ieee.org
The video captured by different visual sensor in a visual sensor network is first compressed
using the block-based compressive sensing algorithm. All the videos are encoded …