Abstract: Systems and methods are disclosed for field of view adjustment for image capture devices. For example, methods may include receiving a field of view selection; oversampling, using an image sensor, to obtain an image at a capture resolution that is greater than an encode resolution; determining a crop setting based on the field of view selection; cropping the image using the crop setting to obtain a cropped image; down-scaling the cropped image to obtain a scaled image at the encode resolution; encoding the scaled image at the encode resolution; and storing, displaying, or transmitting an output image based on the scaled image.

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: Processing of a burst of high dynamic range (HDR) images in a timely manner is described. The method includes receiving successive multi-exposure image sets from an image sensor, where a multi-exposure image set includes a short exposure image and long exposure image pair. The multiple short exposure image and long exposure image pairs in the successive multi-exposure image sets are processed via an image signal processor pipeline which includes Bayer noise reduction. The multiple short exposure image and long exposure image pairs are combined, using a HDR hardware component, to generate multiple HDR images, which are processed through local tone mapping and chroma noise reduction offline processing. General Purpose Raw (GPR) format images are generated for the multiple short exposure image and long exposure image pairs and stored for post-processing access.

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 device includes a processor that is configured to detect that a first image is captured by the device; configure the device to capture images in a first resolution after detecting that the first image was captured; start a timer; restart the timer when a second image is captured before the timer expires; detect an event indicative of a second resolution that is lower than the first resolution; and configure the device to capture images in the second resolution after detecting the event indicative of the second resolution.

Abstract: Methods and systems for auto-detecting and auto-connecting communication protocols with respect to an image capture device connected to an accessory device via an interface cable. A method for seamless connectivity including automatically detecting, by one of an image capture device and an accessory device, of a wired connection between the image capture device and the accessory device via an interface cable, automatically initiating, by the one of the image capture device and the accessory device, processing associated with a communication protocol supported by the image capture device and the accessory device, and automatically connecting the image capture device to the accessory device via the communication protocol when the processing is complete.

Abstract: Methods and systems for detecting and monitoring memory card performance characteristics. A method for detecting memory card performance characteristics includes obtaining at least one memory card performance characteristic from a memory card when the memory card is inserted in an image capture device, determining whether the at least one memory card performance characteristic meets a defined image capture device requirement, and providing an alert when the at least one memory card performance characteristic fails to match the defined image capture device requirement.

Abstract: Systems and methods are disclosed for field of view adjustment for image capture devices. For example, methods may include receiving a field of view selection; oversampling, using an image sensor, to obtain an image at a capture resolution that is greater than an encode resolution; determining a crop setting based on the field of view selection; cropping the image using the crop setting to obtain a cropped image; down-scaling the cropped image to obtain a scaled image at the encode resolution; encoding the scaled image at the encode resolution; and storing, displaying, or transmitting an output image based on the scaled image.

Abstract: A device includes a processor that is configured to detect that a first image is captured by the device; configure the device to capture images in a first resolution after detecting that the first image was captured; start a timer; restart the timer when a second image is captured before the timer expires; detect an event indicative of a second resolution that is lower than the first resolution; and configure the device to capture images in the second resolution after detecting the event indicative of the second resolution.

Abstract: An image capture device includes a processor that is configured to set the image capture device to a zero-shutter-lag (ZSL) mode in response to a capture of a first image; start a timer; restart the timer when a second image is captured while the timer is active; and, in response to detecting an event indicating that no image was captured before the timer expired, set the image capture device to the non-ZSL mode. The processor is configured to set the image capture device to a non-ZSL mode when the timer expires.

Abstract: Systems and methods are disclosed for field of view adjustment for image capture devices. For example, methods may include receiving a field of view selection; oversampling, using an image sensor, to obtain an image at a capture resolution that is greater than an encode resolution; determining a crop setting based on the field of view selection; cropping the image using the crop setting to obtain a cropped image; down-scaling the cropped image to obtain a scaled image at the encode resolution; encoding the scaled image at the encode resolution; and storing, displaying, or transmitting an output image based on the scaled image.

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.

Abstract: Methods and apparatus for instant capture of content are described. A method may include enabling a component to capture content capture opportunity data prior to initiating an image sensor and an optical component to capture image content, automatically determining a content capture opportunity by processing the captured content capture opportunity data, automatically selecting, for the content capture opportunity, an image capture device mode based on the processed captured content capture opportunity data, and instantly capturing and storing, using the image sensor and the optical component, image content using the selected image capture device mode, wherein the capturing is stopped based on an event.

Abstract: Systems and methods are disclosed for field of view adjustment for image capture devices. For example, methods may include receiving a field of view selection; oversampling, using an image sensor, to obtain an image at a capture resolution that is greater than an encode resolution; determining a crop setting based on the field of view selection; cropping the image using the crop setting to obtain a cropped image; down-scaling the cropped image to obtain a scaled image at the encode resolution; encoding the scaled image at the encode resolution; and storing, displaying, or transmitting an output image based on the scaled image.

Abstract: An image capture device includes a processor that is configured to set the image capture device to a zero-shutter-lag (ZSL) mode in response to a capture of a first image; start a timer; restart the timer when a second image is captured while the timer is active; and, in response to detecting an event indicating that no image was captured before the timer expired, set the image capture device to the non-ZSL mode. The processor is configured to set the image capture device to a non-ZSL mode when the timer expires.

Abstract: Methods and apparatus for instant capture of content are described. A method may include placing an image capture device in an aware state and capturing aware state data. The aware state may include enabling low power sensors or entering the image capture into an event mode. A content capture opportunity is automatically determined from the captured aware state data. The aware state data may be image information and a classifier classifies the image information. The aware state data may be position data for the image capture device and when the image capture device is in a capture position, the image capture device may instantly capture image information. An image capture device mode is automatically selected for the content capture opportunity and content is automatically captured with the selected image capture device mode.

Abstract: A method for a zero shutter-lag (ZSL) mode of an image capture device includes, in response to detecting a first event indicative of the ZSL mode, setting the image capture device to the ZSL mode. Setting the image capture device to the ZSL mode includes setting a sensor of the image capture device to a first resolution that is higher than a second resolution of a non-ZSL mode, and setting a timer to expire after a predefined period. The method also includes, in response to the timer expiring after the predefined period, setting the image capture device to the non-ZSL mode. The non-ZSL mode cancels the ZSL mode.

Abstract: Systems and methods are disclosed for field of view adjustment for image capture devices. For example, methods may include receiving a field of view selection; oversampling, using an image sensor, to obtain an image at a capture resolution that is greater than an encode resolution; determining a crop setting based on the field of view selection; cropping the image using the crop setting to obtain a cropped image; down-scaling the cropped image to obtain a scaled image at the encode resolution; encoding the scaled image at the encode resolution; and storing, displaying, or transmitting an output image based on the scaled image.

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.