Browsing by Subject "Object recognition"

Now showing items 1-5 of 5

    • A New Forensic Video Database for Source Smartphone Identification: Description and Analysis 

      Akbari, Y.; Al-Maadeed, Somaya; Almaadeed, N.; Najeeb, A.A.; Al-ali, A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...

    • A Scene-to-Speech Mobile based Application: Multiple Trained Models Approach 

      Karkar A.; Kunhoth J.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      The concept of Scene-to-Speech (STS) is to recognize elements in a captured image or a video clip to speak loudly an informative textual content that describes the scene. The contemporary progression in convolution neural ...

    • Intelligent sensor network for obstacle avoidance strategy 

      Chan Yet, W.; Qidwai, U. ( IEEE , 2005 , Conference Paper)
      An obstacle avoidance system was developed for a custom-made Autonomous Navigational Robotic Vehicle (ANROV), based on an intelligent sensor network and fuzzy logic control. Unlike conventional crisp control systems, this ...

    • Smartphone-based food recognition system using multiple deep CNN models 

      Fakhrou A.; Kunhoth J.; Al-Maadeed, Somaya ( Springer , 2021 , Article)
      People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...

    • Spatiotemporal saliency estimation by spectral foreground detection 

      Aytekin C.; Possegger H.; Mauthner T.; Kiranyaz, Mustafa Serkan; Bischof H.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      We present a novel approach for spatiotemporal saliency detection by optimizing a unified criterion of color contrast, motion contrast, appearance, and background cues. To this end, we first abstract the video by temporal ...