Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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...
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...
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...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterizing symptom patterns in early-onset colorectal cancer: insights from a national inpatient analysis.

Cancer treatment and research communications·2026
Same author

Nano-ZnO-Crosslinked Pectin/CMC Film with Enhanced Hydrophobicity and UV-Blocking for Blueberry Packaging.

Polymers·2026
Same author

A Biophysical Prior-Based Hierarchical Graph Pooling Strategy for Protein Function Prediction.

IEEE transactions on computational biology and bioinformatics·2026
Same author

Cellulose-Based Conductive Hydrogels: Design Strategies and Applications in Flexible Electronics.

Gels (Basel, Switzerland)·2026
Same author

A Non-Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

VEXAS Syndrome for the laboratory physician: a case report.

Frontiers in immunology·2026

Related Experiment Video

Updated: May 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Short distance intra coding scheme for high efficiency video coding.

Xiaoran Cao1, Changcai Lai, Yunfei Wang

  • 1Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China. caoxr05@mails.thu.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|October 13, 2012
PubMed
Summary
This summary is machine-generated.

A new short distance intra prediction (SDIP) method enhances High Efficiency Video Coding (HEVC) by improving prediction accuracy in detailed regions. This leads to significant bit rate reductions for textured video sequences.

Related Experiment Videos

Last Updated: May 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Video compression algorithms
  • Digital image processing
  • Video coding standards

Background:

  • High Efficiency Video Coding (HEVC) utilizes quadtree structures for efficient video compression.
  • Intra prediction accuracy is crucial for reducing redundancy in video data.
  • Existing intra prediction methods can be less effective in high-detailed image regions.

Purpose of the Study:

  • To introduce a novel intra coding scheme, Short Distance Intra Prediction (SDIP), for HEVC.
  • To enhance the accuracy of intra prediction, particularly in complex visual areas.
  • To reduce the bit rate for video sequences with rich textures.

Main Methods:

  • The proposed SDIP method adapts HEVC's quadtree unit structure.
  • Coding units are split into non-square units to shorten prediction reference distances.
  • Directional prediction methods are enhanced by the reduced sample distances.

Main Results:

  • SDIP significantly improves intra prediction accuracy, especially in high-detailed regions.
  • The method is effective for both luma and chroma components.
  • Integration into HEVC reference software yielded up to 12.8% bit rate reduction for textured sequences.

Conclusions:

  • SDIP offers a viable enhancement for HEVC intra coding.
  • The technique effectively addresses limitations in predicting complex image areas.
  • This approach contributes to more efficient video compression standards.