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Downsampling01:20

Downsampling

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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...
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Upsampling01:22

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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...
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Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Pulse amplitude and quality01:17

Pulse amplitude and quality

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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
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Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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Buffer Effectiveness

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Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
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Updated: Sep 13, 2025

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Perception-Based H.264/AVC Video Coding for Resource-Constrained and Low-Bit-Rate Applications.

Lih-Jen Kau1, Chin-Kun Tseng1,2,3, Ming-Xian Lee1

  • 1Department of Electronic Engineering, National Taipei University of Technology, Taipei 106344, Taiwan.

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Summary
This summary is machine-generated.

This study introduces a perception-based video coding algorithm for H.264/AVC, enhancing visual quality in low-bit-rate Internet of Things (IoT) applications. The method prioritizes regions with faces and motion, improving efficiency for edge computing.

Keywords:
AdaBoost classifierH.264/AVCRegion of Interest (ROI)face detectionmotion intensityquantization parameter (QP)

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Area of Science:

  • Computer Vision
  • Video Compression
  • Signal Processing

Background:

  • Efficient video transmission is critical for Internet of Things (IoT) and edge computing due to bandwidth and resource constraints.
  • H.264/AVC remains a dominant video compression standard in deployed systems, especially for CCTV surveillance.
  • Perception-based video coding is essential for maintaining visual quality while minimizing bit rate and processing overhead.

Purpose of the Study:

  • To propose a perception-based video coding algorithm tailored for low-bit-rate H.264/AVC applications.
  • To enhance perceptual video quality and optimize resource usage in bandwidth-limited and computationally constrained environments.
  • To improve video transmission efficiency for IoT and edge computing systems.

Main Methods:

  • Developed a perception-based algorithm focusing on human faces and motion-intensive regions for targeted bit allocation.
  • Utilized the Viola-Jones algorithm with AdaBoost for efficient face detection, prioritizing low computational complexity.
  • Implemented a dynamic quantization parameter (QP) adjustment strategy to assign finer quantization to regions of interest (ROIs).

Main Results:

  • The proposed algorithm achieved superior subjective visual quality and objective Peak Signal-to-Noise Ratio (PSNR) compared to standard methods at the same bit rate.
  • Demonstrated effective optimization for low-bit-rate H.264/AVC applications, suitable for embedded systems.
  • Showcased a marginal increase in computational complexity, highlighting the algorithm's efficiency.

Conclusions:

  • The developed algorithm offers an effective balance between visual quality and computational performance for video transmission in constrained environments.
  • The method is well-suited for bandwidth-limited, resource-limited IoT and edge computing applications.
  • Prioritizing perceptually important regions significantly improves video quality under low-bit-rate conditions.