An electronic device having a camera, while displaying a live preview for the camera, detects activation of a shutter button at a first time. In response, the electronic device acquires, by the camera, a representative image that represents a first sequence of images, and a plurality of images after acquiring the representative image, and also displays an indication in the live preview that the camera is capturing images for the first sequence of images. The electronic device groups images acquired by the camera in temporal proximity to the activation of the shutter button at the first time into the first sequence of images, such that the first sequence of images includes a plurality of images acquired by the camera prior to detecting activation of the shutter button at the first time, the representative image, and the plurality of images acquired by the camera after acquiring the representative image.

An image editing user interface, displayed by a computer system, for editing a sequence of images (e.g., an enhanced digital image), includes an affordance for turning on, or off, animated playback of the sequence of images, while retaining the sequence of images. While animated playback is turned off, a representative image from the sequence of images is displayed.

Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

A “Moment Capture System” automatically captures and buffers multiple image frames, both prior to and following digital camera shutter activation. This capture and buffering is performed in combination with real-time automatic control of camera settings (e.g., exposure time, capture rate, ISO, white balance, aperture, etc.) based on an ongoing real-time evaluation of contents and characteristics of most recent previously buffered frames. Whenever a shutter activation (e.g., a “tap”) is detected, the Moment Capture System pulls some number of pre-tap frames from the buffer and adds some number of post-tap frames to create an “image moment.” Image moments are defined as sets of sequential frames spanning a time period before and after the detected tap. In various implementations, the Moment Capture System performs automated selection of perceptually best images from the buffered frames associated with each tap. This automated selection closely emulates human selection based on subjective subtleties of human preferences.

An electronic device, while in a first media acquisition mode, captures media and performs scene recognition. If the scene recognition meets first criteria, the media is displayed as a sequence of images acquired by the camera in temporal proximity to a single activation of a shutter button of the device at the first time. The sequence of images includes a plurality of images acquired by the camera prior to detecting activation of the shutter button at the first time, a representative image that represents the sequence of images and was acquired by the camera after one or more other images in the sequence of images, and a plurality of images acquired by the camera after acquiring the representative image. If the scene recognition does not meet the first criteria, the media is displayed as a single image in temporal proximity to the activation of the shutter button.

In one embodiment, a mobile device analyzes frames before and after a particular frame of a real-time video to identify one or more social network objects, and selects one or more frames before and after the particular frame based on social network information for further storage in the mobile device.

Systems, methods, and computer-readable media are disclosed for selection of a preferred image from multiple captured images. An image corresponding to a photograph time t=0 may be retrieved from a circular buffer and stored as a preferred image. Alternative images captures before and after the t=0 image may be retrieves and stored in an alternative image location. The t=0 image and preferred images may be presented to a user in a user interface. The user may select a preferred image for the photograph from among the t=0 image and the alternative images.

Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.

Systems, methods, and computer-readable media are disclosed for selection of a preferred image from multiple captured images. An image corresponding to a photograph time t=0 may be retrieved from a circular buffer and stored as a preferred image. Alterative images captures before and after the t=0 image may be retrieves and stored in an alternative image location. The t=0 image and preferred images may be presented to a user in a user interface. The user may select a preferred image for the photograph from among the t=0 image and the alternative images.

An image capturing apparatus that includes one or more image sensors configured to capture a plurality of images and store the captured images in a memory. The apparatus also includes a circuitry that detects an input trigger and continues to capture new images in response to the trigger. The numbers of new images captured are equal in magnitude to half the magnitude of the capacity of the memory. The first new image captured after detecting the trigger is tagged as a reference image. In response to the number of new images captured, the sensors are deactivated and the reference image is displayed immediately on a display panel. On detecting an input operation, the apparatus displays a target image from the plurality of images captured in a quick and efficient manner.