Computer Science / Computer Vision
Computer Science / Information Theory
Computer Science / Multimedia
Mathematics / math.IT
A new compressive video sensing framework for mobile broadcast
Reading time: 2 minute
...
📝 Original Info
- Title: A new compressive video sensing framework for mobile broadcast
- ArXiv ID: 1302.1947
- Date: 2013-03-05
- Authors: Researchers from original ArXiv paper
📝 Abstract
A new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation (TV) of the pixelwise DCT coefficients along the temporal direction. A new reconstruction algorithm is developed from TVAL3, an efficient TV minimization algorithm based on the alternating minimization and augmented Lagrangian methods. Video coding with this method is inherently scalable, and has applications in mobile broadcast.💡 Deep Analysis
Deep Dive into A new compressive video sensing framework for mobile broadcast.A new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation (TV) of the pixelwise DCT coefficients along the temporal direction. A new reconstruction algorithm is developed from TVAL3, an efficient TV minimization algorithm based on the alternating minimization and augmented Lagrangian methods. Video coding with this method is inherently scalable, and has applications in mobile broadcast.
📄 Full Content
Reference
This content is AI-processed based on ArXiv data.