King Fahd University of Petroleum and Minerals

Motaz Alfarraj

Salam Adel Zummo

Hamzah Luqman

Sadam Hussein Al-Azani

Ayaz Ul Hassan Khan

Dina Hamed Al-Hamed

Adnan Hamida

Mohammad Hashem M Kenana Shullar

Ala Elddin Sidig

Khalil Hedi Chikhaoui

Ziyad Adel Alswaidan

A system and a method for displaying super-resolution images generated from images of lower resolution, includes processor circuitry for a combination multi-core CPU and machine learning engine configured with an input for receiving the low resolution images, a feature extraction section to extract features from the low resolution images, non-linear feature mapping section, connected to the feature extraction section, generating feature maps using a self-calibrated block with pixel attention having a plurality of Depthwise Separable Convolution (DSC) layers, a late upsampling section combines at least one DSC layer and a skip connection that upsamples the feature maps to a predetermined dimension, and a video output for displaying approximate upsampled super-resolution images that corresponds to the low resolution images.

System and method for self-calibrated convolution for real-time image super-resolution

A method of image retargeting including segmenting an input image into a plurality of cells and detecting elements in the input image by a deep learning-based semantic segmentation network. The method includes generating a segmentation map according to a first function, generating a saliency map according to a second function and generating a variance map according to a third function. The method includes constructing an importance map according to a fourth function. The importance map is based on the segmentation map, the saliency map, and the variance map. The method includes inputting the importance map into a distortion threshold function. The distortion threshold function calculates a distortion threshold. The method includes calculating a distortion measure and determining a modification to be applied to each of the plurality of cells. The method includes applying the modification to each of the plurality of cells and outputting a retargeted image.

Object-aware adaptive image retargeting method

A system and method for real-time monitoring of personal protective equipment (PPE) compliance at a worksite. The system includes a processor, a host memory, a graphical processing unit (GPU), a GPU memory, a storage device, an input device, a plurality of cameras, and a display device. The system creates multiple inference engines and loads input frames from the storage device for pre-processing. The pre-processed frames are processed to obtain annotations and generate an output file. The system also includes a preparatory area and an operations area with cameras configured to capture and transmit video frames. The system can process input frames at a rate of at least 15 frames per second, providing real-time PPE compliance information.

Real-time monitoring system for personal protective equipment compliance at worksites

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Dhahran, Saudi Arabia

Motaz Alfarraj