Abstract: Mitigations for camera alignment during image capture preview involve receiving a zoom level request for a multicamera system comprising a first camera having a first optical zoom metric and a second camera having a second optical zoom metric, and obtaining an image frame from the first camera. A target transformation is determined based on difference between the first optical zoom and a requested zoom level, the second camera's native optical zoom level, the relative orientation of the first and second cameras within the system framework and the relative intrinsics on the two cameras. The transformation is applied before, in conjunction with, or followed by a separate digital zoom transform to the image frame to obtain a transformed and digitally zoomed image frame transformation.

Abstract: Multiple punchouts of a video may be presented based on multiple viewing windows. The video may include visual content having a field of view. Multiple viewing windows may be determined for the video, with individual viewing window defining a set of extents of the visual content. Different punchouts of the visual content may be presented based on the different viewing windows. Individual punchout of the visual content may include the set of extents of the visual content defined by corresponding viewing window.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a target time-lapse video frame rate. Capture of the audio content may be stopped based on the time-lapse video frame rate being different from the target time-lapse video frame rate.

Abstract: Multiple punchouts of a video may be presented based on multiple viewing windows. The video may include visual content having a field of view. Multiple viewing windows may be determined for the video, with individual viewing window defining a set of extents of the visual content. Different punchouts of the visual content may be presented based on the different viewing windows. Individual punchout of the visual content may include the set of extents of the visual content defined by corresponding viewing window.

Abstract: Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment in a circular buffer. The circular buffer includes a number of recordable segments. The pre-buffering method includes determining whether a key moment command is received. If a key moment command is not received, the method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. If a key moment command is not received, the method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available. If a key moment command is received, the pre-buffering method includes marking a wrap point in the circular buffer and switching from recording in the circular buffer to linear recording.

Abstract: A method and apparatus for night lapse video capture are disclosed. The apparatus includes an image sensor, a processor, a denoiser, and an encoder. The image sensor is configured to capture image data. The processor is configured to process the image data using an image processing pipeline. The denoiser is configured to perform denoising based on a motion estimation that is based on a comparison of a portion of the first image and a portion of the second image. The encoder is configured to encode the denoised image in a video format. The encoder is configured to store a video file in the video format.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a target time-lapse video frame rate. Capture of the audio content may be stopped based on the time-lapse video frame rate being different from the target time-lapse video frame rate.

Abstract: A method and apparatus for night lapse video capture are disclosed. The apparatus includes an image sensor, a processor, a denoiser, and an encoder. The image sensor is configured to capture image data. The image data includes a first image that is temporally precedent to a second image. The processor is configured to process the image using an image processing pipeline. The denoiser is configured to perform denoising based on a motion estimation that is based on a comparison of a portion of the first image and a portion of the second image. The encoder is configured to encode the denoised image in a video format. The encoder is configured to output a video file in the video format.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a target time-lapse video frame rate. Capture of the audio content may be stopped based on the time-lapse video frame rate being different from the target time-lapse video frame rate.

Abstract: Multiple punchouts of a video may be presented based on multiple viewing windows. The video may include visual content having a field of view. Multiple viewing windows may be determined for the video, with individual viewing window defining a set of extents of the visual content. Different punchouts of the visual content may be presented based on the different viewing windows. Individual punchout of the visual content may include the set of extents of the visual content defined by corresponding viewing window.

Abstract: An image captured using an image sensor is processed to determine control statistics and to produce an altered image which can be output for display or further processing at an image capture device, and the image is then processed according to the control statistics to produce a processed image which can be output for display or further processing at the image capture device or at another device. The altered image may have a lower resolution than the processed image. The image may be stored in a buffer. For example, the image may be retrieved from the buffer to produce the altered image, and again retrieved from the buffer to produce the processed image. The altered image may replace the image within the buffer. For example, the processed image may be produced to represent the altered image at a higher resolution.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a target time-lapse video frame rate. Capture of the audio content may be stopped based on the time-lapse video frame rate being different from the target time-lapse video frame rate.

Abstract: Multiple punchouts of a video may be presented based on multiple viewing windows. The video may include visual content having a field of view. Multiple viewing windows may be determined for the video, with individual viewing window defining a set of extents of the visual content. Different punchouts of the visual content may be presented based on the different viewing windows. Individual punchout of the visual content may include the set of extents of the visual content defined by corresponding viewing window.

Abstract: Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment of a variable bitrate input stream in a circular buffer. The circular buffer includes a number of recordable segments. The method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. The method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available.

Abstract: An image capture device may provide playback of audio content during capture of visual content. Moments within the audio content may be associated with cue markers. The visual content may be synchronized with the audio content provided during capture, and a video edit may be automatically generated based on the moments associated with the cue markers.

Abstract: An image capture device may capture visual content based on a time-lapse video frame rate. Audio content may be captured along with the visual content based on the time-lapse video frame rate being a specific value and/or falling within a range of values.

Abstract: An image capture device may provide playback of audio content during capture of visual content. Moments within the audio content may be associated with cue markers. The visual content may be synchronized with the audio content provided during capture, and a video edit may be automatically generated based on the moments associated with the cue markers.

Abstract: Image capture devices and methods may be used to pre-buffer media storage. The pre-buffering method includes recording an image capture segment in a circular buffer. The circular buffer includes a number of recordable segments. The pre-buffering method includes determining whether a key moment command is received. If a key moment command is not received, the method includes recording a next image capture segment in a next adjacent recordable segment of the circular buffer if the next adjacent recordable segment of the predetermined number of recordable segments is available. If a key moment command is not received, the method includes overwriting an oldest recordable segment if the next adjacent recordable segment of the predetermined number of recordable segments is not available. If a key moment command is received, the pre-buffering method includes marking a wrap point in the circular buffer and switching from recording in the circular buffer to linear recording.

Abstract: A method and apparatus for night lapse video capture are disclosed. The apparatus includes an image sensor, a processor, a denoiser, and an encoder. The image sensor is configured to capture image data. The image data includes a first image that is temporally precedent to a second image. The processor is configured to process the image using an image processing pipeline. The denoiser is configured to perform denoising based on a motion estimation that is based on a comparison of a portion of the first image and a portion of the second image. The encoder is configured to encode the denoised image in a video format. The encoder is configured to output a video file in the video format.

Abstract: A method and apparatus for night lapse video capture are disclosed. The apparatus includes an image sensor, an image processor, and a video encoder. The image sensor is configured to capture image data. The image data includes a first image that is temporally precedent to a second image. The image processor is configured to determine a motion estimation. The motion estimation is based on a comparison of a portion of the first image and a portion of the second image. The image processor is configured to subtract a mask from the second image to obtain a denoised image. The mask is based on the motion estimation. The video encoder is configured to receive the denoised image from the image processor. The video encoder is configured to encode the denoised image in a video format. The video encoder is configured to output a video file in the video format.