Intel Corporation

Wipro Limited

Venkata Prasad

Arthi Venkataraman

Aman Chandra

Dmitry Ryzhov

Arvind Patter

Muhammad Hamdan

This disclosure describes systems, methods, and devices related to generating visual quality metrics for encoded video frames. A method may include generating respective first visual quality metrics for pixels of an encoded video frame; generating respective second visual quality metrics for the pixels, the respective first visual quality metrics and the respective second visual quality metrics indicative of estimated human perceptions of the encoded video frame; generating a pixel block-based weight for the respective first visual quality metrics; generating a frame-based weight for the respective second visual quality metrics; and generating, based on the respective first visual quality metrics, the pixel block-based weight, the respective second visual quality metrics, and the frame-based weight, a human visual score indicative of a visual quality of the encoded video frame.

Enhanced real-time visual quality metric generation for video coding

A technique is provided for automatically updating automation sequences. The technique includes automatically identifying a difference between a current image of a screen of a graphical user interface (GUI) application and a baseline image of the screen of the GUI application, based on one or more image comparison techniques. Each of the current image and the baseline image include one or more fields. The technique further includes determining a change in one or more fields of the current image and the one or more corresponding fields of the baseline image, based on the identified difference. The change is based on one or more similarity scores. The technique further includes updating one or more automation sequences based on the determined change.

Method and system for automatically updating automation sequences

Growing community of inventors

Bengaluru, India

Venkata Prasad