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Related Concept Videos

Introduction to Scalers01:21

Introduction to Scalers

Many familiar physical quantities can be specified completely by giving a single number and the appropriate unit. For example, "a class period lasts 50 min," or "the gas tank in my car holds 65 L," or "the distance between the two posts is 100 m." A physical quantity that can be specified completely in this manner is called a scalar quantity. The word "scalar" is a synonym for "number." Time, mass, distance, length, volume, temperature, and energy are some examples of scalar quantities.
Scalar...
Encoding01:19

Encoding

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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Related Experiment Video

Updated: Jun 13, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Scanned compound document encoding using multiscale recurrent patterns.

Nelson C Francisco1, Nuno M M Rodrigues, Eduardo A B da Silva

  • 1Instituto de Telecomunicações, Apartado 4163, 2411-901 Leiria, Portugal. ncarreira@lps.ufrj.br

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 29, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new multidimensional multiscale parser (MMP) encoder for scanned documents. This adaptive approach enhances compression efficiency for diverse document types, outperforming current methods.

Related Experiment Videos

Last Updated: Jun 13, 2026

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Compound documents present unique compression challenges due to mixed content (text, graphics, textures).
  • Existing image encoders struggle to efficiently handle the diverse characteristics of scanned compound documents.
  • Multidimensional multiscale parser (MMP) offers adaptive coding capabilities suitable for varied image data.

Purpose of the Study:

  • To develop and evaluate a novel MMP-based encoder specifically for scanned compound documents.
  • To improve coding efficiency and performance compared to existing state-of-the-art methods.
  • To demonstrate the adaptability of the MMP paradigm for complex image data.

Main Methods:

  • The proposed algorithm utilizes an adaptive, approximate pattern matching approach with multiscale dictionaries.
  • Image blocks are classified as smooth (texture) or nonsmooth (text/graphics).
  • Specialized MMP-based encoders are applied to each block type for optimized compression.

Main Results:

  • The novel MMP encoder achieves significant performance gains over the original MMP algorithm.
  • The adaptive strategy for smooth and nonsmooth blocks enhances compression efficiency.
  • The proposed method demonstrates superior performance for scanned compound images compared to current state-of-the-art encoders.

Conclusions:

  • The developed MMP encoder effectively addresses the challenges of scanned compound document compression.
  • Adaptive encoding based on block characteristics leads to improved efficiency.
  • This approach offers a versatile and high-performance solution for digital document archiving and transmission.