Abstract:
An apparatus and a method for recognizing an object in an image are disclosed. The method for recognizing an object in an image may include: executing a deep neural network algorithm which has been trained in advance to recognize an object in an image, on a first image inputted from a camera module; finding an amount of change in image between the first image and a second image inputted from the camera module after the first image according to a predetermined cycle; and in response that an object has been detected from the first image as a result of executing the deep neural network algorithm, tracking the position of the detected object from the second image, based on the found amount of change in image.
Abstract:
A receiving system and a method of processing data are disclosed herein. The receiving system includes a receiving unit, a system information processor, a decoding unit, and a display unit. The receiving unit receives a broadcast signal including a 3D content and system information associated with the 3D content. The system information processor extracts identification information from the system information. Herein, the identification information may identify that the broadcast signal being received by the receiving unit includes the 3D content. The decoding unit decodes the received 3D content based upon transmission format information of the 3D content. Herein, the transmission format information may be included in the extracted identification information. And, the display unit displays the 3D content decoded by the decoding unit as a 3D image based upon a display method of a display device.
Abstract:
A receiving system that can receive and process 3D images and a data processing method of the same are disclosed. The receiving system includes an image receiving unit and a display unit. The image receiving unit receives a 3-dimensions (3D) image and system information including additional information of the 3D image (i.e., additional 3D image information), generates 3D signaling information based upon the additional 3D image information included in the system information, and transmits the generated 3D signaling information along with the 3D image through a digital interface. And, the display unit receives the 3D signaling information along with the 3D image through the digital interface, formats the 3D image based upon the receiving 3D signaling information, and displays the formatted 3D image.
Abstract:
A receiving system and a method of processing data are disclosed herein. The receiving system includes a receiving unit, a system information processor, a decoding unit, and a display unit. The receiving unit receives a broadcast signal including a 3D content and system information associated with the 3D content. The system information processor extracts identification information from the system information. Herein, the identification information may identify that the broadcast signal being received by the receiving unit includes the 3D content. The decoding unit decodes the received 3D content based upon transmission format information of the 3D content. Herein, the transmission format information may be included in the extracted identification information. And, the display unit displays the 3D content decoded by the decoding unit as a 3D image based upon a display method of a display device.
Abstract:
An artificial intelligence based object identifying apparatus and a method thereof which are capable of easily identifying a type of an object in an image using a small size learning model are disclosed. According to an embodiment of the present disclosure, an object identifying apparatus configured to identify an object from an image includes a receiver configured to receive the image, an image modifier configured to modify the received image by predetermined methods to generate a plurality of modified images, and an object determinator configured to apply the plurality of modified images to a neural network trained to identify an object from the image to obtain a plurality of identification results and determine a type of an object in the received image based on the plurality of identification results.
Abstract:
A three-dimensional around view providing apparatus for providing a 3D around view through a user interface module included in a vehicle may include a plurality of image pickup units mounted in the vehicle, a depth estimator configured to receive a plurality of images from the plurality of image pickup units and to acquire a plurality of depth maps corresponding to the plurality of images, a controller configured to minimize a depth difference between a first boundary region of a first depth map and a second boundary region of a second depth map. At least one among an autonomous vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence (AI) module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5th-generation (5G) service related device, and the like.
Abstract:
A broadcast receiver and a 3D broadcast data processing method are disclosed. The processing method includes receiving a broadcast signal including system information (SI) and video data, parsing SI of a program, and determining whether the program provides a 3D broadcast service on the basis of the SI, extracting, if the program provides a 3D broadcast service, 3D broadcast data corresponding to the 3D broadcast service, and processing the 3D video data according to the SI. The broadcast receiver includes a receiving unit receiving a broadcast signal including SI and video data, an SI processor parsing system information of a program, and determining whether the program provides a 3D broadcast service on the basis of the SI, a demultiplexer extracting, if the program provides a 3D broadcast service, 3D broadcast data corresponding to a 3D broadcast service, and a video processing unit processing 3D video data according to the SI.