Systems, apparatuses, and methods may provide for technology to process multi-resolution images by identifying pixels at a boundary between pixels of different resolutions, and selectively smoothing the identified pixels.

Embodiments of the present disclosure provide an image processing method. The method includes: acquiring a first face set by performing face recognition on a first image set according to a first recognition model; in response to detecting a connection to a network, receiving a second face set sent by a server, the second face set being acquired by the server through face recognition on images in a second image set according to a second recognition model, a recognition precision of the first recognition module being lower than a recognition precision of the second recognition model; performing image matching on the images in the first image set and the images in the second image set; processing the first face set according to the second face set and a result of the image matching; and classifying the first image set according to the processed first face set.

Provided is an electronic apparatus and a controlling method thereof the electronic apparatus includes: an interface connectable to a modular display apparatus including a plurality of display cabinets divided into a plurality of groups, the interface including a plurality of ports connectable to the plurality of groups; and a processor configured to: scale an image received from an external device based on a resolution of the modular display apparatus, re-scale the scaled image based on a resolution based on a user input, identify at least one group, among the plurality of groups, based on a position in which the re-scaled image is to be displayed, decompose the re-scaled image based on the identified at least one group, and control to transmit the decomposed re-scaled image to each of the identified at least one group through at least one port connected to the identified at least one group.

Rotation between landscape and portrait modes or vice versa may be supported in wireless display interfaces coupled to a platform by having the platform sense rotation change in the platform or in the display. This enables counter rotation of the frame buffer or rotated rendering of the content to ensure that content is presented upright to the end user.

A method and system for video stream personalization. A personalization policy may be accessed. The personalization policy may include an image identification and an image alteration to a video image identified by the image identification. At least one instance of the video image may be identified in a video stream. An output stream may be produced from the video stream in response to the personalization policy. The output stream may include the image alteration to the video image.

An image resolution processing method includes: obtaining motion information of a display apparatus; determining a motion direction and rate information of the display apparatus according to the motion information; determining, according to the motion direction, a target object that is at least one of a horizontal resolution and a vertical resolution; determining a target value according to the rate information and a standard resolution of the display apparatus; and generating a to-be-displayed image, a value of the target object in an image resolution of the to-be-displayed image being equal to the target value.

Aspects of the subject disclosure may include, for example, obtaining image content over a communication network, determining a predicted viewpoint of a user associated with the image content, and adjusting the image content to equirectangular image content according to the predicted viewpoint. Further aspects can include downscaling the equirectangular image content according to a display capability of a mobile device resulting in a downscaled equirectangular image content, cropping the downscaled equirectangular image content resulting in a cropped equirectangular image content, and providing, over the communication network, the cropped equirectangular image content to the mobile device. Other embodiments are disclosed.

3Ddata representing a three-dimensional structure is divided into a plurality of pieces and encoded, an obtained plurality of divided bitstreams is multiplexed, and one bitstream including a separator indicating a position of a joint between the divided bitstreams is generated. Furthermore, a separator indicating a position of a joint between divided bitstreams obtained by dividing 3Ddata representing a three-dimensional structure into a plurality of pieces and encoding the plurality of divided pieces of the 3Ddata, which is included in a bitstream obtained by multiplexing a plurality of the divided bitstreams, is analyzed, and the bitstream is divided into every divided bitstream on the basis of information included in the analyzed separator, and decoded. Applications of the technology include being implemented in, for example, an information processing apparatus, an image processing apparatus, electronic equipment, an information processing method, a program, or the like.

A vehicular navigation apparatus may include: an input unit configured to receive an image; a display unit configured to display at least one of a navigation image and an input image; and a controller configured to receive the image from the input unit and to control operation of the display unit. Upon receiving the image from the input unit, the controller may be configured to extract a resolution of the input image and to determine whether the resolution of the input image is less than or equal to a reference resolution, and when the resolution of the input image is less than or equal to the reference resolution, the controller may be configured to control the operation of the display unit so as to simultaneously display the navigation image and the input image.

Provided is a pavement nondestructive detection and identification method based on small samples, including: constructing an original dataset, dividing the original dataset into several patch blocks, sampling the patch blocks, and obtaining samples of the patch blocks; inputting the samples of the patch blocks into a Transformer model for feature extraction and target reconstruction, and obtaining a trained Transformer model; and based on the trained Transformer model, detecting input pavement sample images.