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Research Article

BEST PAPER 2021

Application of Machine-Learning in Computer Vision


Submission Deadline: 31 July 2021 (closed)

Abstract

This article has no abstract.

Keywords

Topics of interest include, but are not limited to:
• Machine learning algorithms in medical imaging
• Scene Understanding
• 3D visual perception
• Human Analysis and modeling
• Document Image Processing
• Optical and Handwritten Character Recognition
  • Research Article

    BEST PAPER 2021

    A Transfer Learning-Based Approach to Detect Cerebral Microbleeds

    Sitara Afzal, Imran Ullah Khan, Jong Weon Lee* CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1903-1923, 2022, DOI:10.32604/cmc.2022.021930
    Abstract Cerebral microbleeds are small chronic vascular diseases that occur because of irregularities in the cerebrum vessels. Individuals and elderly people with brain injury and dementia can have small microbleeds in their brains. A recent study has shown that cerebral microbleeds could be remarkably risky in terms of life and can be riskier for patients with dementia. In this study, we proposed an efficient approach to automatically identify microbleeds by reducing the false positives in openly available susceptibility-weighted imaging (SWI) data samples. The proposed structure comprises two different pre-trained convolutional models with four stages. These stages include (i) skull removal and… More >

    Graphic Abstract

  • Research Article

    BEST PAPER 2021

    Effective Video Summarization Approach Based on Visual Attention

    Hilal Ahmad1, Habib Ullah Khan2, Sikandar Ali3,*, Syed Ijaz Ur Rahman1, Fazli Wahid3, Hizbullah Khattak4 CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1427-1442, 2022, DOI:10.32604/cmc.2022.021158
    Abstract Video summarization is applied to reduce redundancy and develop a concise representation of key frames in the video, more recently, video summaries have been used through visual attention modeling. In these schemes, the frames that stand out visually are extracted as key frames based on human attention modeling theories. The schemes for modeling visual attention have proven to be effective for video summaries. Nevertheless, the high cost of computing in such techniques restricts their usability in everyday situations. In this context, we propose a method based on KFE (key frame extraction) technique, which is recommended based on an efficient and… More >

    Graphic Abstract

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