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Transcription01:17

Transcription

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Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Master Transcription Regulators02:23

Master Transcription Regulators

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Master Transcription Regulators02:23

Master Transcription Regulators

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Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a  complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Versatile Text Extraction System for Text-to-Speech Reading Assistant Camera.

Hideaki Goto1

  • 1Cyberscience Center, Tohoku University, Sendai, Japan.

Studies in Health Technology and Informatics
|August 22, 2015
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Summary

This study presents a versatile scene text extraction method for visually-impaired users. The system efficiently translates text from complex scenes into speech, improving accessibility for reading various documents.

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Area of Science:

  • Computer Vision
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Visually-impaired individuals require assistive devices for text comprehension.
  • Existing scene text extraction methods have limitations in handling diverse and complex text targets.
  • Wearable camera devices offer potential for real-time text-to-speech translation.

Purpose of the Study:

  • To develop a versatile scene text extraction method for wearable cameras.
  • To enable visually-impaired users to read a wider variety of text in real-world scenes.
  • To improve the accuracy and robustness of text extraction from complex visual environments.

Main Methods:

  • A novel scene text extraction algorithm designed for versatility.
  • Implementation on a wearable camera device for real-time processing.
  • Utilizing a locally-adaptive binarization technique for enhanced image quality.

Main Results:

  • The proposed system achieves video-rate processing speeds.
  • Successful extraction of densely arranged text lines from complex signboards.
  • Demonstrated robustness against text distortion and shading in scene images.

Conclusions:

  • The developed method significantly enhances text accessibility for the visually-impaired.
  • The system's versatility allows for reading diverse text targets beyond simple documents.
  • Locally-adaptive binarization is crucial for high-quality text extraction in challenging conditions.