Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

Abstract: Systems and methods of an electronic device include an imaging device and a button. The electronic device also has circuitry configured to acquire a first fingerprint image captured by the imaging device in which the button is not engaged; extract first fingerprint features from the first fingerprint image; store the first fingerprint features as a registered fingerprint image; acquire a second fingerprint image captured by the imaging device in which the button is engaged; extract second fingerprint features from the second fingerprint image; compare the first fingerprint features of the registered fingerprint image and the second fingerprint features extracted from the second fingerprint image; and calculate and store an amount of distortion of the second fingerprint image based on a result of the comparing.

Abstract: A Light device having built-in digital data means is powered by an unlimited power source for a lamp-holder, LED bulb, or light device connected to unlimited power source by prongs or a base that or conductive wires can be inserted into a socket that would otherwise receiving a bulb. The device may take the form of a webcam having auto tracking added one of plurality functions to make different products and functions and retractable prongs that plug directly into a wall outlet or insert into existing lamp base or incorporate conductive wire to make electric connection at least one of built-in camera, storage unit, wireless kits, Bluetooth kits, motion sensor, light device.

Abstract: A method and apparatus for applying a tile size adaptively based on a size of a coding unit. An image processing apparatus may detect a size of a largest coding unit (LCU) used in encoding of a video from a header of a bitstream, may determine a tile size adaptively based on the detected size of the LCU, and may decode the bitstream in units of the LCU based on the determined tile size.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An integrated camera, ambient light detection, and rain sensor assembly suitable for installation behind a windshield of a driver operated vehicle or an automated vehicle includes an imager-device. The imager-device is formed of an array of pixels configured to define a central-portion and a periphery-portion of the imager-device. Each pixel of the array of pixels includes a plurality of sub-pixels. Each pixel in the central-portion is equipped with a red/visible/visible/visible filter (RVVV filter) arranged such that each pixel in the central-portion includes a red sub-pixel and three visible-light sub-pixels. Each pixel in the periphery-portion is equipped with a red/green/blue/near-infrared filter (RGBN filter) arranged such that each pixel in the periphery-portion includes a red sub-pixel, a green sub-pixel, a blue sub-pixel, and a near-infrared sub-pixel.

Abstract: An image processing system includes an image acquisition section that consecutively acquires still images, a direction determination section that determines a camera moving direction, a slit image generation section that generates slit images based on the consecutively acquired still images, and a panoramic image generation section that performs a synthesis process of the slit images to generate a panoramic image. The direction determination section determines whether the camera moving direction is a first camera moving direction or a second camera moving direction when the imaging section is moved during capture. The panoramic image generation section performs the synthesis process of each slit image based on the camera moving direction when the consecutively acquired still images were captured to generate the panoramic image.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: A device for processing video data receives an indication of a maximum layer identification (ID) value for a bitstream; receives a flag for a first layer with a layer ID value less than the maximum layer ID value; and, based on a value of the flag, determines if the first layer is included in an operation point.

Abstract: A video transmission apparatus detects a target object to be monitored from images obtained by imaging a monitoring area, tracks the detected target object, obtains existence time from appearance to disappearance of the target object, and transmits a data volume reduced image of the target object to a video reception apparatus. The video reception apparatus analyzes the data volume reduced image transmitted from the video transmission apparatus and transmits a video request of the target object to the video transmission apparatus) based on input made according to the result of the analysis. When the video request transmitted from the video reception apparatus is received, the video transmission apparatus generates a monitoring video from the appearance to the disappearance of the target object based on the existence time of the target object and transmits the monitoring video to the video reception apparatus.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.

Abstract: A method for real-time multi-frame super resolution (SR) of video content is provided. The method includes receiving a bitstream including an encoded video, motion metadata for a plurality of blocks of a frame of video content, and parameters. The motion metadata is estimated from the original video before downsampling and encoding. The motion metadata is averaged over consecutive blocks. The method includes upscaling the motion metadata for the plurality of blocks. The method also includes upscaling the decoded video using the upscaled motion metadata. The method also includes deblurring and denoising the upscaled video.