An electronic device and a controlling method thereof are provided. The electronic device includes a memory, a first camera including a first image sensor and at least one processor, and the at least one processor obtains a plurality of image frames by photographing surroundings of the electronic device through the first camera, sets a region of interest (ROI) on the plurality of image frames, obtains a motion identification map corresponding to each of the plurality of image frames and select at least one image frame from among the plurality of image frames based on the obtained motion identification map, identifies whether there is a motion of an object on the ROI set on the selected at least one image frame, and performs a Super Slow Motion (SSM) function through the first camera based on a result of the identification.

Disclosed is a method for detecting a line in an image or a video. The method includes smoothing the image, selecting an area in which a line is to be detected, determining a center pixel in the selected area, applying a window centered on the center pixel, detecting a sum of gradient angle differences of pixels surrounding the center pixel, classifying the center pixel determined as the line candidate into a ridge or a valley, and eliminating a non-maximum pixel.

A method is disclosed for improving the quality of photographs taken in low-light conditions by adjustment of shutter speed and digital gain based on a shutter prioritization value. Using a network of sensor, a digital camera processes various parameters, such as light level of the scene and movement of the camera or of subjects within the scene, to compute a shutter prioritization value. The value is then used to select the most appropriate shutter speed and digital gain combination from a constant exposure curve. Higher prioritization values correspond to faster shutter speeds and higher digital gain. Lower prioritization values correspond to lower shutter speeds and lower digital gain. In further embodiments, the shutter prioritization value may be manually customized by a user in order to produce artistic effects.

An augmented reality (AR) providing method for recognizing a context using a neural network includes acquiring, by processing circuitry, a video; analyzing, by the processing circuitry, the video and rendering the video to arrange a virtual object on a plane included in the video; determining whether a scene change is present in a current frame by comparing the current frame included in the video with a previous frame; determining a context recognition processing status for the video based on the determining of whether the scene change is present in the current frame; and in response to determining that the context recognition processing status is true, analyzing at least one of the video or a sensing value received from a sensor using the neural network and calculating at least one piece of context information, and generating additional content to which the context information is applied and providing the additional content.

A temporal alignment system and method for example for detecting temporal misalignment in video frames when the frames are divided for transport using a signal divider for dividing a single signal S into portions S.sub.1 . . . S.sub.N and using average picture level in determining whether data sets within a particular frame are misaligned.

Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.

When a producer processing unit, such as a video decoder, of a media processing system is producing a data output for use by a consumer processing unit, such as a display processor, the producer processing unit also generates metadata for the data output that it is producing and provides that metadata for use by the consumer processing unit. The consumer processing unit then uses the metadata provided by the producer processing unit when processing the data output to which the metadata relates.

Embodiments of the present disclosure can provide devices, methods, and computer-readable medium for secure frame management. The techniques disclosed herein provide an intelligent method for detecting triggering items in one or more frames of streaming video from an Internet Protocol camera. Upon detection, the camera transmits one or more frames of the video over a network to a computing device. Upon detecting a triggering item in a frame of the video stream, the computing device can begin a streaming session with a server and stream the one or more frames of video and accompanying metadata to the server. The frames, metadata, and associated keys can all be encrypted prior to streaming to the server. For each subsequent segment of video frames that includes the triggering item, the server can append the frames of that segment to the video clip in an encrypted container. Once the triggering item is no longer detected, the streaming session can be closed.

A video signal processing device including a video signal dividing unit that divides a video signal into first to k-th division video signals (k is an integer of 2 or more) for each frame; a video change detecting unit that detects, for each of the first to k-th division video signals, whether or not there has occurred a change in the video signal between the frames, and generates first to k-th video change detection signals representing the detection results; and a video no-change determining unit that generates a video no-change signal indicating that there is no change in the video signal when the number of video change detection signals indicating that there is no change among the first to k-th video change detection signals is greater than a predetermined number.

Camera operations are controlled by motion patterns determined from the outputs of an internal motion sensor. These methods remove the need for a nob, button, touch screen, or other mechanical control devices with movable components. This effectively removes common water leakage weak points for electronic devices with cameras. Motion patterns determined from the outputs of an internal motion sensor are also used to adjust camera operation parameters such as the brightness of a supporting light source, shutter speed, aperture opening, and contrast. These methods are also applicable for land operations.