Provided is a driving support device configured to: generate a bird's-eye view image around an own vehicle from periphery images acquired from a plurality of periphery monitoring cameras, and generate a cropped bird's-eye view image by cropping an image of a cropping range including a blind spot range from the generated bird's-eye view image; generate a rear-lateral side converted image by converting a rear-lateral side direction image acquired from a rear-lateral side monitoring camera into an image in which left and right are inverted; and generate a combined image in which the generated cropped bird's-eye view image and the generated rear-lateral side converted image are arranged, and control a display device such that the generated combined image is displayed by the display device.

A view system for a vehicle (1) with a tractor (2) and a trailer (3). The view system has a capture unit (10) with an image sensor (12) for capturing image data of an area of view, around the vehicle, a processing unit (20) for processing the image data, and a reproduction unit (30) for reproducing at least one first image section (410) and one second image section (420) of the area of view (40) captured by the capture unit (10). The processing unit provides different resolutions of image data depending on the position of the tractor with respect to the trailer.

In some examples, a computing device receives, from an unmanned aerial vehicle (UAV), a first image from a first camera on the UAV and a plurality of second images from a plurality of second cameras on the UAV. The plurality of second cameras may be positioned on the UAV for providing a plurality of different fields of view in a plurality of different directions around the UAV. Further, the first camera has a longer focal length than the second cameras. The computing device presents, on a display, a composite image including at least a portion of the first image within a merged image generated from the plurality of second images. The presented composite image enables a user to at least one of: zoom out from the at least one first image to the merged image, or zoom in from the merged image to the at least one first image.

At least one processor of an electronic device in a vehicle may be configured to: receive broadcast information which is broadcast from a beacon and includes reference data indicating the relative positional relationship between a designated object positioned in a designated place and the position of the beacon and the data of the designated place; in response to reception of the broadcast information, acquire sensed data indicating the relative positional relationship between the designated object and the vehicle through at least one sensor of the electronic device on the basis of the data of the designated place; in response to acquiring the sensed data, identify the difference between the sensed data and the reference data; identify whether the difference lies outside of a reference range; and determine correction of the at least one sensor to be required, on the basis of identification that the difference lies outside of the reference range.

A display controlling device includes a position detecting unit for detecting a position of the head of a driver and a position of an eye of the driver; a region adjusting unit for adjusting the position of a region, to be displayed on a display, in an outside image, depending on the detection result by the position detecting unit; and a display controlling unit for displaying, on the display, a region corresponding to the region of the position adjusted by the region adjusting unit. When there is a change in the position of the head so as to move in both the vertical direction in the crosswise direction of the vehicle, the region adjusting unit prevents adjustment of the position of the region to a position corresponding to the change, in the vertical direction, of the position of the eye, and adjusts the position of the region to a position corresponding to a change in the position of the eye in the crosswise direction and/or the front/rear direction.

Aspects of the present invention relate to methods and systems for the see-through computer display systems with adjustable-zoom cameras positioned such that their respective capture fields-of-view at least partially overlap at a target distance.

A method for automatically generating a Region Of Interest (ROI) centric image in an electronic device is provided. The method includes receiving an image frame(s), where the image frame(s) includes a plurality of objects. Further, the method includes identifying a first ROI, a second ROI, and a non-ROI in the image frame(s). Further, the method includes rescaling the second ROI in the image frame(s), summarizing the non-ROI in the image frame(s), and automatically generating the ROI centric image, where the ROI centric image includes the rescaled-first ROI, the rescaled-second ROI, the rescaled-non-ROI, and the summarized non-ROI.

Dual-aperture digital cameras with auto-focus (AF) and related methods for obtaining a focused and, optionally optically stabilized color image of an object or scene. A dual-aperture camera includes a first sub-camera having a first optics bloc and a color image sensor for providing a color image, a second sub-camera having a second optics bloc and a clear image sensor for providing a luminance image, the first and second sub-cameras having substantially the same field of view, an AF mechanism coupled mechanically at least to the first optics bloc, and a camera controller coupled to the AF mechanism and to the two image sensors and configured to control the AF mechanism, to calculate a scaling difference and a sharpness difference between the color and luminance images, the scaling and sharpness differences being due to the AF mechanism, and to process the color and luminance images into a fused color image using the calculated differences.

A computer-implemented method, a computer system and a computer program product improve the quality of multimedia. The method includes displaying a current frame of a video. The method also includes generating dataframes for the current frame and for a reference frame of the video. The method further includes comparing the dataframes for the reference and current frames. In addition, the method includes determining a quality metric of the current frame based on the comparison of the dataframes for the reference and current frames. Finally, the method includes altering an orientation of the display of the current frame in response to determining that the quality metric of the current frame is below a threshold.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing virtual surveillance windows for video surveillance. The methods, systems, and apparatus include actions of obtaining an original video, generating a downscaled video from the original video, detecting a first event at a location from the downscaled video using a first classifier, generating a windowed video from the original video based on the location, detecting a second event from the windowed video, and performing an action in response to detecting the second event.