Abstract: Techniques related to detecting local change in video are discussed. Such techniques may include determining inlier and outlier keypoints for a current frame of a video sequence based on inlier keypoints from previous frames, detecting a region of local change based on outlier keypoints of the current and previous frames, and providing an indicator of local change based on the detected region of local change.

Abstract: A method for flicker detection based on a plurality of images and associated circuit is provided. The method includes providing an integrated flicker signal for each image, including accumulating pixel data of a number of pixels along each row; performing a motion compensation including: comparing two integrated flicker signals of two images, and accordingly providing a flicker signal difference; performing a flicker feature extraction including: applying a frequency analysis on the flicker signal difference, and accordingly providing a normalized flicker feature value; and performing a flicker determination, including: calculating a likelihood according to the normalized flicker feature value, and, according to the likelihood, determining whether a flicker-free hypothesis should be rejected in favor of a flicker-suffered hypothesis.

Abstract: Techniques are disclosed to adaptively control an image sensor and image signal processor (ISP), collectively known as an image pipeline, such that a minimum amount of power is consumed by an electronic device while producing images that can be accurately analyzed by a computer vision application. The techniques disclosed herein can be implemented in various electronic devices capable of capturing and processing image data, such as, for example, smart phones, wearable computers, laptops, tablets, and other mobile computing or imaging systems. In an embodiment, the techniques disclosed herein are implemented in a system-on-chip device.

Abstract: Techniques related to detecting local change in video are discussed. Such techniques may include determining inlier and outlier keypoints for a current frame of a video sequence based on inlier keypoints from previous frames, detecting a region of local change based on outlier keypoints of the current and previous frames, and providing an indicator of local change based on the detected region of local change.

Abstract: Techniques are disclosed to adaptively control an image sensor and image signal processor (ISP), collectively known as an image pipeline, such that a minimum amount of power is consumed by an electronic device while producing images that can be accurately analyzed by a computer vision application. The techniques disclosed herein can be implemented in various electronic devices capable of capturing and processing image data, such as, for example, smart phones, wearable computers, laptops, tablets, and other mobile computing or imaging systems. In an embodiment, the techniques disclosed herein are implemented in a system-on-chip device.

Abstract: A method for flicker detection based on a plurality of images and associated circuit is provided. The method includes providing an integrated flicker signal for each image, including accumulating pixel data of a number of pixels along each row; performing a motion compensation including: comparing two integrated flicker signals of two images, and accordingly providing a flicker signal difference; performing a flicker feature extraction including: applying a frequency analysis on the flicker signal difference, and accordingly providing a normalized flicker feature value; and performing a flicker determination, including: calculating a likelihood according to the normalized flicker feature value, and, according to the likelihood, determining whether a flicker-free hypothesis should be rejected in favor of a flicker-suffered hypothesis.

Abstract: Methods, systems, and media for swapping faces in images are provided. In some embodiments, a detected face and face data corresponding to an input image is received. A pose bin associated with the detected face is then identified based on the face data. Next, the detected face is aligned to a generic face associated with the pose bin. At least a portion of a candidate face associated with the pose bin is selected. The at least a portion of the candidate face is then copied to a copy of the input image that is aligned with the generic image to form a swapped-face image. The swapped-face image is next aligned to the input image to form an output image, and then the output image is outputted to a display.

Abstract: Methods and systems for creating speech-enabled as avatars are provided in accordance with some embodiments, methods for creating speech-enabled avatars are provided, the method comprising; receiving a single image that includes a face with distinct facial geometry; comparing points on the distinct facial geometry with corresponding points on a prototype facial surface, wherein the prototype facial surface is modeled by a Hidden Markov Model that has facial motion parameters; deforming the prototype facial surface based at least in part on the comparison; in response to receiving a text input or an audio input, calculating the facial motion parameters based on a phone set corresponding to the received input; generating a plurality of facial animations based on the calculated facial motion parameters and the Hidden Markov Model; and generating an avatar from the single image that includes the deformed facial sin face, the plurality of facial animations, and the audio input or an audio waveform corresponding to