Positions of an image capture device may be used to determine a position-based time-lapse video frame factor. Apparent motion between pairs of images may be used to determine a visual-based time-lapse video frame rate factor. A time-lapse video frame rate for a time-lapse video may be determined based on the position-based time-lapse video frame factor and the visual-based time-lapse video frame rate factor.

Searching for documents includes retrieving objects from a physical media image using a camera from a smartphone, a user selecting a subset of the objects, forming a search query based on the subset of objects, and applying the search query to a search engine to search for the documents. Retrieving objects from a media image may include waiting for a view of the camera to stabilize. Waiting for the view of the camera to stabilize may include detecting changing content of a video flow provided to the camera and/or using motion sensors of the camera to detect movement. Retrieving objects may include the smartphone identifying possible subsets of objects in the media image. The user selecting a subset of the objects may include the smartphone presenting at least some of the possible subsets to the user and the user selecting one of the possible subsets.

Video capture is described in which the video frame rate is based on an estimate of motion periodicity. In one example, a period of motion of a moving object is determined at a sensor device. A frame capture rate of a video camera that is attached to the moving object is adjusted based on the period of motion. Video frames are captured at the adjusted frame rate, and the captured video frames are stored.

There is provided a system for calibrating a camera including: a memory storing centering calibration data reflecting a deviation of an optical axis of a lens; and an image signal processor determining an image recognition region of an image sensor based on the centering calibration data to process an image signal input from the image sensor.

A system and method is disclosed for capturing images of one or more moving vehicles (i.e., a target vehicle) from another moving vehicle (i.e., subject vehicle). The disclosed system dynamically adjusts illumination power, exposure times, and/or other settings to optimize image capture that takes into account distance and speed. By optimizing for distances and moving vehicles, the disclosed system improves the probability of capturing a legible, usable photographic image. In one example, the disclosed system may be incorporated into an asymmetric license plate reading (ALPR) system.

An electronic device is provided. The electronic device includes a camera including a plurality of lenses, a display, and a processor, in which the processor is configured to display a plurality of icons corresponding to the plurality of lenses, based on first position information in a first photographing mode, and upon selection of a first icon by a first gesture from the plurality of icons in the first photographing mode, switch to a second photographing mode and display a zoom control region including a plurality of zoom levels having a first zoom level of a first lens corresponding to the first icon as a reference zoom level and the plurality of icons rearranged based on second position information corresponding to the plurality of zoom levels.

Image pickup apparatus includes imaging control circuit, keystone correction circuit, and composite circuit. Imaging control circuit acquires plurality of first images corresponding to subject image formed on imaging plane by image pickup optical system by causing imaging element to execute exposure plurality of times in accordance with imaging instruction. Keystone correction circuit corrects keystone distortion occurring in each first image due to change of attitude of body, by keystone correction based on tilt angle corresponding to each first image, and the optical characteristic, thereby generating plurality second images. Composite circuit generates third image by compositing second images.

An image of a user's eyes and face may be analyzed using computer-vision algorithms. A computing device may use the image to determine the location of the user's eyes and estimate the direction in which the user is looking. The eye tracking technology may be used in a wide range of lighting conditions and with many different and varying light levels. When a user is near a light source, an automatic exposure feature in the camera may result in the user's face and eyes appearing too dark in the image, possibly reducing the likelihood of face and eye detection. Adjusting attributes such as the camera exposure time and the intensity and illumination interval of the light sources based on motion and light levels may improve detection of a user's features.

A control apparatus includes an acquisition unit configured to acquire information on an optical image stabilization performance, and a correction unit configure to provide an electronic image stabilization. The correction unit changes a gain of the correction unit based on information on a shutter speed and information on the image stabilization performance.

An endoscope apparatus including: an image pickup device; a detection device that detects whether or not an image region at which a part of an object region is edged along a direction parallel to the scan lines in a state that is different to a case where a plurality of the scan lines are simultaneously exposed exists in a frame image due to differences of exposure timings for each of the scan lines of the image pickup device based on an image feature amount in the frame image that is obtained from the image data for each of the scan lines that is outputted from the image pickup device; and an exposure control device that changes an exposure time of each of the scan lines by the image pickup device simultaneously for all of the scan lines if the detection device detects the image region.