Abstract: A computer-implemented method for performing stitching of images to form a panoramic video stream is disclosed. The method comprises capturing images with a camera; and selectively switching between first and second modes of operation wherein corresponding to said first mode at least some of the captured images are sent to circuitry of the camera for performance of a stitching operation to stitch together the images to form a panoramic video stream and wherein corresponding to the second mode at least some of the captured images are transmitted over a network to an image optimization server provisioned in a cloud for performance of said stitching operation.

Abstract: A video processing device which can be implemented as a peripheral device is disclosed. The video processing device is configured to receive one or more videos and audio through a plurality interfaces. Further, the device receives one or more user input corresponding to one or more customization requests of the received video and the audio. The video processing device processes the video and the audio based on the received user input and outputs the processed video and audio via an output interface.

Abstract: A computer-implemented method for a multiple imager imaging system is disclosed. The method comprises capturing regular images; capturing depth sensor images; and performing a depth-based alignment operation to adjust factory alignment parameters based on depth sensor information.

Abstract: A chassis for use in a panoramic camera is disclosed. The chassis comprises a base, a heat sink which comprises a metal boss formed on a first portion of the base to dissipate heat generated by a main processor of the panoramic camera; and an isothermal mounting structure formed on a second portion of the base including a plurality of slots and apertures, wherein a plurality of imaging sensors are mounted on the isothermal mounting structure using the plurality of slots and apertures.

Abstract: A method for generating a panoramic image is disclosed. The method comprises simultaneously capturing images from multiple camera sensors aligned horizontally along an arc and having an overlapping field of view; performing a cylindrical projection to project the captured images from the multiple camera sensors to a cylindrical images; and aligning overlapping regions of the cylindrical images corresponding to the overlapping field of view based on an absolute difference of luminance, wherein the cylindrical projection is performed by adjusting a radius for the cylindrical projection, wherein the radius is adjusted based on a scale factor and wherein the scale factor is calculated based on a rigid transform and wherein the scale factor is iteratively calculated for two sensors from the multiple camera sensors.

Abstract: A panoramic video conferencing server is disclosed. The server is operational to capture an audio stream via an array of microphones. The captured audio stream is de-multiplexed to extract audio for a plurality of audio zones. A region of interest (ROI) is determined for a plurality of client devices to which a panoramic video is being streamed. The ROI is determined based on a zoom information which is inputted by any one of the client devices. A modified audio channel associated with the panoramic video being streamed to at least one of the client devices is generated for each of the client devices. The modified audio channel is adjusted to coincide with directionality of an audio corresponding to the associated region of interest (ROI) inputted by the at least one of said client device and the modified audio channel is adjusted to mute audio corresponding to the audio zones other than the audio zone associated with the ROI.

Abstract: One embodiment relates to a multi-imager video camera that includes a plurality of imagers, a plurality of image flow processors, a multi-imager video processor, a plurality of exposure control circuits, and a statistics circuit. Each imager includes a sensor array that is configured to capture image frames, and each image flow processor is configured to receive and process the image frames captured from at least one of said imagers. The multi-imager video processor is configured to receive the processed image frames from the plurality of image flow processors. The statistics circuit is configured to determine an auto exposure level based on the captured image frames from a single imager. The multi-image video processor is further configured to receive said auto exposure level and transmit said auto exposure level to all other imagers of the plurality of imagers. Other embodiments and features are also disclosed.

Abstract: A computer-implemented method for a multiple imager imaging system is disclosed. The method comprises detecting misalignment between a left portion of an object in a left image and a right portion of said object in a right image; wherein said misalignment is detected using factory alignment parameters to align said left and right portions; and selectively performing a recalibration operation to determine optimal alignment parameters to align said left and right portions during an image stitching operation; dynamically overriding the factory alignment parameters with the optimal alignment parameters; and performing the stitching operation based on the optimal alignment parameters.

Abstract: A synchronized multiple imager system includes a plurality of imagers having pixels arranged in rows and columns. The pixels generate pixel data responsive to light directed onto the imagers. One or more respective sensors are coupled to the imagers. The sensors sense the pixel data from the columns and output a vertical raster stream representative of the pixel data in the columns, thereby generating a plurality of vertical raster streams. A clock circuit synchronizes the sensors to sense selected columns in the imagers and to output the vertical raster streams from the selected columns. A processor circuit is configured to receive the vertical raster streams from the imagers and to process the vertical raster streams to generate a plurality of stitched raster streams. The processor circuit stitches seam vertical raster streams from adjacent pairs of imagers.