A method including generating at least one of a key frame and an inter-predicted frame based on a received video stream including at least one video frame, the inter-predicted frame being generated using information from the key frame, determining whether the key frame is stored at a receiving device, selecting video data as one of the key frame or a key frame identifier representing the key frame based on whether the key frame is stored at the receiving device, and communicating at least one of the video data and the inter-predicted frame.

A method including generating at least one of a key frame and an inter-predicted frame based on a received video stream including at least one video frame, the inter-predicted frame being generated using information from the key frame, determining whether the key frame is stored at a receiving device, selecting video data as one of the key frame or a key frame identifier representing the key frame based on whether the key frame is stored at the receiving device, and communicating at least one of the video data and the inter-predicted frame.

The present disclosure may improve contrast and deep black by efficiently controlling local dimming in consideration of the ratio of a black image data and the non-uniformity in the area between blocks.

The present disclosure may improve contrast and deep black by efficiently controlling local dimming in consideration of the ratio of a black image data and the non-uniformity in the area between blocks.

A brain imaging system and a brain imaging method are provided. The brain imaging system includes a first imaging device, a second imaging device and a processor. The first imaging device captures a first brain image set by scanning a patient, and the second imaging device captures a second brain image set. The processor is configured to: pre-process and enhance first and second brain image sets; select first features that are optimal for estimating cerebral perfusion and select second features that are optimal for brain lesion identification; obtain, by performing calculations on first features, a plurality of brain perfusion indices; and identify, by inputting the second features to a third deep learning model having been trained, position information and volume information of one or more target brain lesions in the brain of the patient.

A brain imaging system and a brain imaging method are provided. The brain imaging system includes a first imaging device, a second imaging device and a processor. The first imaging device captures a first brain image set by scanning a patient, and the second imaging device captures a second brain image set. The processor is configured to: pre-process and enhance first and second brain image sets; select first features that are optimal for estimating cerebral perfusion and select second features that are optimal for brain lesion identification; obtain, by performing calculations on first features, a plurality of brain perfusion indices; and identify, by inputting the second features to a third deep learning model having been trained, position information and volume information of one or more target brain lesions in the brain of the patient.

The present disclosure relates to a tag and a method, performed by the tag, of transmitting a response signal to a tag search signal. Specifically, the disclosed method of transmitting a response signal includes operations of receiving, from at least one of a plurality of slave nodes, the tag search signal including identification data for identifying the tag, charging an energy storage element in the tag by using the received tag search signal, obtaining the identification data for identifying the tag from the received tag search signal, determining whether the obtained identification data matches identification information previously stored in the tag, and outputting a response signal to the tag search signal when the energy storage element is charged greater than a predetermined value and the obtained identification data matches the identification information previously stored in the tag.

The present disclosure relates to a tag and a method, performed by the tag, of transmitting a response signal to a tag search signal. Specifically, the disclosed method of transmitting a response signal includes operations of receiving, from at least one of a plurality of slave nodes, the tag search signal including identification data for identifying the tag, charging an energy storage element in the tag by using the received tag search signal, obtaining the identification data for identifying the tag from the received tag search signal, determining whether the obtained identification data matches identification information previously stored in the tag, and outputting a response signal to the tag search signal when the energy storage element is charged greater than a predetermined value and the obtained identification data matches the identification information previously stored in the tag.

A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.

A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.