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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...
Rate-Determining Steps03:08

Rate-Determining Steps

Relating Reaction Mechanisms
In a multistep reaction mechanism, one of the elementary steps progresses significantly slower than the others. This slowest step is called the rate-limiting step (or rate-determining step). A reaction cannot proceed faster than its slowest step, and hence, the rate-determining step limits the overall reaction rate.
The concept of rate-determining step can be understood from the analogy of a 4-lane freeway with a short-stretch of traffic-bottleneck caused due to...
Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as G-protein-linked receptors (GPCRs) and...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Rapidly Varying Flow01:24

Rapidly Varying Flow

Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...

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Related Experiment Videos

User-action-driven view and rate scalable multiview video coding.

Jacob Chakareski1, Vladan Velisavljevic, Vladimir Stankovic

  • 1Signal Processing Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland. jakov@jakov.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|June 26, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces an optimization framework for multi-view video coding, minimizing distortion by selecting optimal views and rates. Interactivity-aware strategies enhance client performance, outperforming existing methods.

Related Experiment Videos

Area of Science:

  • Computer Vision
  • Video Compression
  • Multimedia Systems

Background:

  • Multi-view video coding (MVC) presents challenges in efficiently transmitting and rendering diverse viewpoints.
  • Texture plus depth (T+D) format offers a rich representation for synthesizing novel views.
  • Scalable video coding is crucial for adapting to varying network conditions and client capabilities.

Purpose of the Study:

  • To develop an optimization framework for joint view and rate scalable coding of multi-view video in T+D format.
  • To minimize aggregate distortion across synthesized views by selecting optimal coded views and encoding rates.
  • To enhance client performance (latency, video quality) through interactivity-aware coding strategies.

Main Methods:

  • Derivation of an optimization framework for joint view and rate selection.
  • Construction of a view and rate embedded bitstream for simultaneous optimal performance at discrete transmission rates.
  • Development of a user interaction model using Markov chains to predict client view selection.
  • Exploitation of the user model within the optimization for interactivity-aware coding strategies.

Main Results:

  • The proposed optimization framework outperforms H.264 SVC and a uniform rate allocation wavelet coder.
  • Achieved arbitrarily fine granularity of encoding bit rates and novel view-embedded encoding.
  • Interactivity-aware coding demonstrated superior performance compared to conventional allocation techniques.
  • Significant improvements in client latency and video quality were observed.

Conclusions:

  • The developed framework provides an efficient and adaptable solution for multi-view video coding.
  • Interactivity-aware coding is a key advancement for personalized and high-quality multi-view experiences.
  • The approach offers flexibility in bit rate control and novel encoding functionalities.