Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Boundary Conditions: Lossless Lines

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...

Traveling Waves: Lossless Lines

Traveling Waves: Lossless Lines

The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx and a shunt capacitance CΔx.

Reducing Line Loss

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...

Lossy Lines and Overvoltages

Lossy Lines and Overvoltages

Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...

Downsampling

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...

Uniform Depth Channel Flow

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...

You might also read

Related Articles

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

Sort by

Same author

Machine Learning Across Heterogeneous Biomedical Data: Representation, Integration, and Deployable Systems.

Bioengineering (Basel, Switzerland)·2026

Same author

Stable Longitudinal Screening of Latent Physiological Dysregulation from Psychometric Data Using Machine Learning.

Bioengineering (Basel, Switzerland)·2026

Same author

An Integrative Review of Computational Methods Applied to Biomarkers, Psychological Metrics, and Behavioral Signals for Early Cancer Risk Detection.

Bioengineering (Basel, Switzerland)·2025

Same author

Non-Uniform Entropy-Constrained <i>L</i><sub>∞</sub> Quantization for Sparse and Irregular Sources.

Entropy (Basel, Switzerland)·2025

Same author

Non-Uniform Voxelisation for Point Cloud Compression.

Sensors (Basel, Switzerland)·2025

Same author

A UWB-Ego-Motion Particle Filter for Indoor Pose Estimation of a Ground Robot Using a Moving Horizon Hypothesis.

Sensors (Basel, Switzerland)·2024

Search research articles

Related Experiment Video

Updated: May 21, 2025

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

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

Published on: December 3, 2013

Lossless and Near-Lossless L-Infinite Compression of Depth Video Data.

Mohammad Ali Tahouri¹, Alin Adrian Alecu², Leon Denis¹

¹Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

Sensors (Basel, Switzerland)

|March 17, 2025

Summary

This summary is machine-generated.

This study presents a new lightweight depth video compression system for medical applications. It offers improved lossless and near-lossless compression, crucial for real-time depth data transmission with controlled error.

Keywords:

L-infinite MAXAD depth map foreground-background segmentation lossless and near-lossless compression quantization

More Related Videos

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Related Experiment Videos

Last Updated: May 21, 2025

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

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

Published on: December 3, 2013

Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

Computer Vision
Medical Imaging
Data Compression

Background:

Depth data acquisition is vital for medical applications like elderly monitoring and biometric extraction.
Bandwidth limitations necessitate efficient compression of depth video streams.

Purpose of the Study:

To introduce a novel lightweight compression system for depth video data.
To enable both lossless and L-infinite near-lossless compression modes.
To provide precise control over coding error per pixel for medical applications.

Main Methods:

Developed a lightweight compression system encoding depth video semantics.
Proposed a quantization technique targeting the L-infinite norm for sparse distributions.
Introduced a new L-infinite compression method with bounded quantization error.

Main Results:

Achieved 45% and 17% average improvement in lossless mode over JPEG-LS and CALIC, respectively.
Demonstrated superior rate-distortion performance and reduced maximum error per frame compared to HEVC in near-lossless mode.
Designed for efficient real-time performance on embedded depth-camera platforms.

Conclusions:

The proposed codec offers significant improvements in depth video compression for medical use.
It provides crucial pixel-level error control essential for sensitive applications.
The system is optimized for real-time deployment on resource-constrained devices.