Method and device for dynamically controlling quality of a video

A display device comprising at least one processor and a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:

• detect a current eye position of an eye of a user;
• identify at least one region of interest (ROI) on a display screen of the display device based on the current eye position of the user;
• predict a next position of the eye of the user based on the current eye position of the user or the at least one ROI;
• convert a standard definition (SD) video into a high definition (HD) video;
• and
• display the HD video on the ROI of the display screen and the SD video in the non-ROI of the display screen, wherein detecting the current eye position of the user is performed by a motion detector, using optical eye tracking, using pattern mapping, or using a gaze-based interface technique and identifying the at least one ROI on the display screen is performed using binary space partitioning.

A non-transitory computer readable medium having stored thereon instructions for transferring data in a storage cluster comprising executable code which when executed by a processor, causes the processor to perform steps comprising:

• detecting a current eye position of an eye of a user;
• identifying at least one region of interest (ROI) on a display screen of the display device based on the current eye position of the user;
• predicting a next position of the eye of the user based on the current eye position of the user or the at least one ROI;
• converting a standard definition (SD) video into a high definition (HD) video;
• and
• displaying the HD video on the ROI of the display screen and the SD video in the non-ROI of the display screen, wherein detecting the current eve position of the user is performed by a motion detector, using optical eye tracking, using pattern mapping, or using a gaze-based interface technique and identifying the at least one ROI on the display screen is performed using binary space partitioning.