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Related Concept Videos

Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Downsampling01:20

Downsampling

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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
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Methods of Medium Optimization

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Buffer Effectiveness

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Related Experiment Videos

Rate-distortion optimized scheduling for redundant video representations.

Huisheng Wang1, Antonio Ortega

  • 1Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2564, USA. huisheng.wang@gmail.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 16, 2009
PubMed
Summary
This summary is machine-generated.

This study enhances video streaming by optimizing redundant coding formats for better error resilience. The new Directed Acyclic HyperGraph model and packet scheduling algorithms improve real-time video communication over diverse networks.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Information Technology

Background:

  • Existing video streaming techniques primarily focus on single decoding paths.
  • There is a need to optimize streaming for coding formats supporting inherent redundancy.

Purpose of the Study:

  • To extend rate-distortion optimized streaming for multiple decoding paths.
  • To introduce a novel model for describing dependencies in redundant video coding.
  • To develop adaptive packet scheduling algorithms for real-time video communication.

Main Methods:

  • Introduction of the Directed Acyclic HyperGraph (DAHG) model.
  • Development of two rate-distortion based packet scheduling algorithms: Lagrangian optimization and a greedy algorithm.
  • Analysis of source and transport redundancy for error robustness.

Main Results:

  • The DAHG model effectively describes multi-path decoding dependencies.
  • The proposed packet scheduling algorithms dynamically adjust redundancy based on channel conditions.
  • Experimental results demonstrate superior end-to-end performance in real-time video communication.

Conclusions:

  • The proposed system effectively leverages source and transport redundancy for enhanced error robustness.
  • The novel approach significantly improves real-time video streaming performance across various network conditions.
  • This work provides a robust framework for streaming video using multi-path decoding techniques.