Abstract: A “Best of Burst Selector,” or “BoB Selector,” automatically selects a subjectively best image from a single set of images of a scene captured in a burst or continuous capture mode, captured as a video sequence, or captured as multiple images of the scene over any arbitrary period of time and any arbitrary timing between images. This set of images is referred to as a burst set. Selection of the subjectively best image is achieved in real-time by applying a machine-learned model to the burst set. The machine-learned model of the BoB Selector is trained to select one or more subjectively best images from the burst set in a way that closely emulates human selection based on subjective subtleties of human preferences. Images automatically selected by the BoB Selector are presented to a user or saved for further processing.

Abstract: A “Best of Burst Selector,” or “BoB Selector,” automatically selects a subjectively best image from a single set of images of a scene captured in a burst or continuous capture mode, captured as a video sequence, or captured as multiple images of the scene over any arbitrary period of time and any arbitrary timing between images. This set of images is referred to as a burst set. Selection of the subjectively best image is achieved in real-time by applying a machine-learned model to the burst set. The machine-learned model of the BoB Selector is trained to select one or more subjectively best images from the burst set in a way that closely emulates human selection based on subjective subtleties of human preferences. Images automatically selected by the BoB Selector are presented to a user or saved for further processing.

Abstract: 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.