A dual mode image sensor is provided. The image sensor includes an on-chip sensing array, on-chip analog-to-digital converters, and an on-chip processor. The sensor array has rows and columns of discrete sensor elements. The dual mode image sensor has a scene sensing mode and an image capture mode, which use the same set of imaging optics. The processor includes a dual context register; one being for the scene sensing mode and the other for image capture mode. The scene sensing mode is configured to output results of object sensing, motion detection, focus evaluation and illumination measurement to the analog-to-digital converters. The image capture mode is configured to output captured images to the analog-to-digital converters, which are configured to send the digital data to the processor. The processor is configured to switch from scene sensing mode to image capture mode based upon the scene sensing mode output results.

Devices, systems and methods are disclosed for enabling a standby mode during videoconferencing, the standby mode having reduced bandwidth consumption and configured to indicate whether a person is present while protecting a privacy of the person. For example, a local device may capture low resolution video data at a low sampling rate, downsample the video data and send the downsampled video data to a remote device, which may upsample the downsampled video data and display the upsampled video data on a display. The upsampled video data indicates an environment of the local device while blurring details, enabling a user of the remote device to identify movement or activity while maintaining privacy for anyone near the local device. The local device may identify activity, motion and/or objects of interest in the video data and may apply a special effect emphasizing the activity, motion and/or objects of interest.

A moving picture photographing apparatus having dual camera includes a first camera configured to capture images, a second camera configured to capture images, and a controller configured to cause the first camera to capture a motion picture, generate final correction information based on an image received via the second camera, and cause the first camera to adjust capture of the motion picture based on the final correction information.

A method for video frame analysis includes determining a first dissimilarity metric and a second dissimilarity metric. The first dissimilarity metric may correspond to a first difference between a first foreground of a first key frame in a video and a second foreground of a second key frame following the first key frame in the video. The second dissimilarity metric may correspond to a second difference between the second foreground of the second key frame and a third foreground of a third key frame following the second key frame in the video. A playback of the video may be generated based on the first dissimilarity metric and the second dissimilarity metric. Related systems and computer program products are also provided.

A battery-powered camera includes a system processor configured to operate in a standby mode or a full-power mode. While operating the system processor in the standby mode, the camera detects an event in a field of view of the camera; records, using an image sensor of the camera, a plurality of image frames corresponding to the field of view in which the event was detected; stores in a frame buffer the plurality of image frames; and wakes the system processor from the standby mode. While operating the system processor in the full-power mode, the camera processes the plurality of image frames stored in the frame buffer using the system processor; and provides the processed image frames for streaming.

Detecting the start of a credit roll within video program may allow for the automatic extension of video recordings among other functions. The start of the credit roll may be detected by determining the number of text blocks within a sequence of frames and identifying a point in the sequence of frames where a difference between the number of text blocks in frames occurring before the point and the number of text blocks in frames occurring after the point is greatest and exceeds a specified threshold. Text blocks may be identified within each frame by partitioning the frame into one or more segments and recording the segments having a pixel of a sufficiently high contrast. Contiguous segments may be merged or combined into single blocks, which may then be filtered to remove noise and false positives. Additional content may be inserted into the credit roll frames.

Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

A display device is provided. The display device includes a display configured to display at least one of an image and a text; a sensing unit configured to sense ambient illuminance; and a processor configured to gradually increase an output luminance value of the display, if a specific condition is satisfied based on the ambient illuminance sensed by the sensing unit and display attributes.

A video processing device detects, as a characteristic region, a region having a prescribed characteristic in each frame of a video and performs specific image processing on either the characteristic region in the frame or a region other than the characteristic region in the frame with a specified processing strength. The processing strength is specified so as to be altered stepwise in at least two steps that involve an intermediate value between a minimum value and a maximum value when there is a change in whether or not a characteristic region has been detected.

A video processing device detects, as a characteristic region, a region having a prescribed characteristic in each frame of a video and performs specific image processing on either the characteristic region in the frame or a region other than the characteristic region in the frame with a specified processing strength. The processing strength is specified so as to be altered stepwise in at least two steps that involve an intermediate value between a minimum value and a maximum value when there is a change in whether or not a characteristic region has been detected.