Abstract: Devices, methods, and non-transitory program storage devices are disclosed herein to perform predictive image sensor cropping operations to improve the performance of video image stabilization operations, especially for high resolution image sensors. According to some embodiments, the techniques include, for each of one or more respective images of a first plurality of images: obtaining image information corresponding to one or more images in the first plurality of images captured prior to the respective image; predicting, for the respective image, an image sensor cropping region to be read out from the first image sensor; and then reading out, into a memory, a first cropped version of the respective image comprising only the predicted image sensor cropping region for the respective image. Then, a first video may be produced based, at least in part, on the first cropped versions of the one or more respective images of the first plurality of images.

Abstract: A method of operating an image sensor includes determining a duration of an integration time for an image frame; operating an array of pixels to capture the image frame; receiving a decision to truncate the image frame; truncating the image frame before satisfying the duration of the integration time; and reading out a set of pixel values for the array of pixels. Each pixel in the array of pixels is exposed for a truncated integration time. The truncated integration time has a truncated duration shorter than the determined duration.

Abstract: A method of operating an image sensor includes determining a duration of an integration time for an image frame; operating an array of pixels to capture the image frame; receiving a decision to truncate the image frame; truncating the image frame before satisfying the duration of the integration time; and reading out a set of pixel values for the array of pixels. Each pixel in the array of pixels is exposed for a truncated integration time. The truncated integration time has a truncated duration shorter than the determined duration.

Abstract: Briefly, a method and apparatus adjusts the power consumption level of an integrated circuit by dynamically scaling the clock frequency based on the real-time determined power consumption level. In one example, the method and apparatus changes an actual clock frequency of the integrated circuit to an effective clock frequency based on the maximum clock frequency and the difference between the threshold power consumption level and the actual power consumption level of the integrated circuit in the previous sampling interval. In one example, an effective clock frequency of the integrated circuit in the current sampling interval is determined. In one example, the difference between the maximum and effective clock frequencies in the current sampling interval is proportional to the difference between the threshold and actual power consumption levels in the previous sampling interval. The actual clock frequency of the integrated circuit is changed to the determined effective clock frequency.

Abstract: An integrated circuit comprising a plurality of functional blocks, each functional block being operative to cause one or more power consuming events, each power consuming event being associated with a respective weight. The integrated circuit also comprises at least one accumulation block for monitoring the functional blocks over a time window and generating a weighted count of the number of occurrences of each power consuming event within the time window; and a power calculation module for calculating a runtime power consumption estimate over the time window using the weighted count. The weighted count may comprise a sum of products of each one of the power consuming events by its respective weight. Calculating the runtime power consumption estimate may comprise averaging the weighted count over the time window to generate a dynamic power estimate, calculating a leakage power estimate over the time window, and summing the dynamic power estimate with the leakage power estimate.

Abstract: Briefly, a method and apparatus adjusts the power consumption level of an integrated circuit by dynamically scaling the clock frequency based on the real-time determined power consumption level. In one example, the method and apparatus changes an actual clock frequency of the integrated circuit to an effective clock frequency based on the maximum clock frequency and the difference between the threshold power consumption level and the actual power consumption level of the integrated circuit in the previous sampling interval. In one example, an effective clock frequency of the integrated circuit in the current sampling interval is determined. In one example, the difference between the maximum and effective clock frequencies in the current sampling interval is proportional to the difference between the threshold and actual power consumption levels in the previous sampling interval. The actual clock frequency of the integrated circuit is changed to the determined effective clock frequency.

Abstract: An integrated circuit comprising a plurality of functional blocks, each functional block being operative to cause one or more power consuming events, each power consuming event being associated with a respective weight. The integrated circuit also comprises at least one accumulation block for monitoring the functional blocks over a time window and generating a weighted count of the number of occurrences of each power consuming event within the time window; and a power calculation module for calculating a runtime power consumption estimate over the time window using the weighted count. The weighted count may comprise a sum of products of each one of the power consuming events by its respective weight. Calculating the runtime power consumption estimate may comprise averaging the weighted count over the time window to generate a dynamic power estimate, calculating a leakage power estimate over the time window, and summing the dynamic power estimate with the leakage power estimate.