Nvidia Corporation

Shashank Garg

Vinayak Jayaram Pore

Soumenkumar Dey

Shang-Hung Lin

Harikrishna Madadi Reddy

Manindra Parhy

Manish Jatashanker Pandey

Ashish Thakur

Alexey Marinichev

An image processor in an image capture device compensates for the effects of undesirable camera shakes occurring during video capture The image processor receives a pair of source frames representing images of a scene, generates a pair of subsampled frames from the source frames, and computes a coarse displacement of the captured image due to camera shakes by comparing the two subsampled frames. The image processor may then refine the determined coarse displacement by comparing the two source frames and a bound determined by an extent of subsampling, and compensate for the displacement accordingly. Display aberrations such as blank spaces caused due to shifting are also avoided by displaying only a portion of the captured image and shifting the displayed portion to compensate for camera shake. The image processor also recognizes displacements due to intentional camera movement, and does not correct for such displacements.

Compensating for undesirable camera shakes during video capture

A method of video reconstruction includes providing a hardware accelerator to a video processing component of a video processing system, and a driver for the video processing component. In addition, the method includes segmenting macroblocks of a destination video frame in a raster order into groups based on reference parameters thereof using the driver, where the reference parameters define compensation needs of macroblocks of the destination frame. The method also includes constructing an indexed array of linked-lists using the driver, with each linked-list representing macroblocks of a group having the same reference parameters. The hardware accelerator may be programmed to accelerate motion compensation by reconstructing macroblocks of the destination frame group-wise in the indexed order of the array of linked-lists.

Macroblock grouping in a destination video frame to improve video reconstruction performance

An encoder provided according to an aspect of the present invention uses different encoding techniques depending on an amount of power available in the corresponding durations. Due to the ability to use such different encoding techniques, power may be optimally utilized. The optimization is further enhanced by dynamically switching between encoding techniques according to power amount availability in corresponding durations. In an embodiment, each encoding technique estimates motion vectors at corresponding level of precision (thereby consuming a corresponding level of power) and the precision level is chosen to correspond to available power budget. The circuitry not required for a desired precision level may be switched off.

Optimal power usage in encoding data streams

Multiple sets of pixel values representing a captured image of a scene are received, with each set representing an image captured with a corresponding degree of focus. An image processor may identify a region of interest in the captured image, automatically determine the configuration parameters for a lens assembly to provide a desired degree of focus for the region of interest, and generate signals to configure a lens assembly. In an embodiment, the region of interest is a face, the desired degree of focus of the face is determined by computing a rate of variation of luminance of pixels representing the face, and the desired degree is the degree of the image having the maximum degree of focus.

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Pune, India

Shashank Garg